😀Overview

Deep learning papers notes sharing, especially for image forgery detection and localization

ccf-rankings now marked with different colors( )

Newly added papers will be organized at the top of every category now.

Related

• Datasets Resources

• Nice Expression

• Research Methods (public information summery)

• Paper Resource Links

Basics

• 图像处理基础知识

Backbone

骨干网络，多为图像分类的网络。

• Attention Is All You Need (NeurIPS '17) [Paper] [Code_official] [Code_community]

• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (ICML '19) [Paper] [Code]

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ICLR '21) [Paper] [Code]

• Multi-Dimensional Model Compression of Vision Transformer (ICME '22) [Paper]

• Deep Residual Learning for Image Recognition (CVPR '16) [Paper]

• Generative Adversarial Networks (NeurIPS '14) [Paper]

• Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond (CVPR '23) [Paper]

• A Kernel Perspective of Skip Connections in Convolutional Networks (ICLR '23) [Paper]

• EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention (CVPR '23) [Paper] [Code] [Note_community]

• Vision Transformers Need Registers (ICLR '24) [Paper]

• LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors (ECCV '24) [Paper]

• DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain

• Segment Anything

Image Tampering

图像篡改检测定位

Image Editing

2025

• UGD-IML: A Unified Generative Diffusion-based Framework for Constrained and Unconstrained Image Manipulation Localization

• CLUE: Leveraging Low-Rank Adaptation to Capture Latent Uncovered Evidence for Image Forgery Localization

• ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack

• MUN: Image Forgery Localization Based on M³ Encoder and UN Decoder

• ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization

• AFCMS-Net: Adaptive feature coupling and multi-level supervision network for effective image forgery localization

• Edge-aware Affinity Enhancement for Image Manipulation Localization

• DFPD: Dual-Forgery Proactive Defense against Both Deepfakes and Traditional Image Manipulations

• Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization

• Loupe: A Generalizable and Adaptive Framework for Image Forgery Detection

• M2SFormer: Multi-Spectral and Multi-Scale Attention with Edge-Aware Difficulty Guidance for Image Forgery Localization

• Active Adversarial Noise Suppression for Image Forgery Localization

• Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer

• Let Images Speak More: An Efficient Method for Detecting Image Manipulation History

• EAN: Edge-Aware Network for Image Manipulation Localization

• Unravelling Digital Forgeries: A Systematic Survey on Image Manipulation Detection and Localization

• Self-Optimization Training for Weakly Supervised Image Manipulation Localization

• KLMN: Knowledge distillation based lightweight multi-clue image forgery detection and localization

• Image manipulation localization via semantic-guided feature enhancement and deep multi-scale edge supervision

• Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization

• A Lightweight and Effective Image Tampering Localization Network with Vision Mamba

• Robustifying vision transformer for image forgery localization with multi-exit architectures

• A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations using Semantic Significance

• FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models ❗Updated

• SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model ❗Updated

• OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking

• Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models

• Weakly-supervised cross-contrastive learning network for image manipulation detection and localization

• Dual-decoding branch contrastive augmentation for image manipulation localization

• PIM-Net: Progressive Inconsistency Mining Network for image manipulation localization

• UFG-Net: Uncertainty and frequency guided network for image forgery localization

• PRest-Net: Multi-domain Probability Estimation Network for Robust Image Forgery Detection

• Exploring multi-scale forgery clues for stereo super-resolution image forgery localization

• Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization

• SAFIRE: Segment Any Forged Image Region

2024

• Employing Reinforcement Learning to Construct a Decision-making Environment for Image Forgery Localization

• Learning Compressed Artifact for JPEG Manipulation Localization Using Wide-Receptive-Field Network

• Proactive image manipulation detection via deep semi-fragile watermark

• Multi-domain Probability Estimation Network for Forgery Detection over Online Social Network Shared Images

• Dual Hypergraph Convolution Networks for Image Forgery Localization

• DiRLoc: Disentanglement Representation Learning for Robust Image Forgery Localization

• SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints

• Image Forgery Localization with State Space Models

• PhotoHolmes: a Python library for forgery detection in digital images

• A Novel Universal Image Forensics Localization Model Based on Image Noise and Segment Anything Model

• Omni-IML: Towards Unified Image Manipulation Localization

• ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection

• Dual JPEG Compatibility: a Reliable and Explainable Tool for Image Forensics

• Is JPEG AI going to change image forensics?

• Image Forgery Localization via Guided Noise and Multi-Scale Feature Aggregation

• Image manipulation localization via dynamic cross-modality fusion and progressive integration

• HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning

• Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization (HiFi-Net++)

• Image Manipulation Detection With Implicit Neural Representation and Limited Supervision

• AdaIFL: Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network

• Noise-assisted Prompt Learning for Image Forgery Detection and Localization

• Learning Universal Features for Generalizable Image Forgery Localization

• A Large-scale Interpretable Multi-modality Benchmark for Image Forgery Localization

• ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training

• ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization

• FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models

• EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning

• Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-Modal Manipulation

• Detecting and Grounding Multi-Modal Media Manipulation and Beyond

• FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection

• Auto-focus tracing: Image manipulation detection with artifact graph contrastive

• LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Phase Image-Based Fact Verification

• Image manipulation detection and localization using multi-scale contrastive learning

• Attentive and Contrastive Image Manipulation Localization With Boundary Guidance

• Rethinking Image Editing Detection in the Era of Generative AI Revolution

• Multi-view Feature Extraction via Tunable Prompts is Enough for Image Manipulation Localization

• Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review

• TGIF: Text-Guided Inpainting Forgery Dataset

• Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization ❗Updated

• GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization

• IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

• DH-GAN: Image manipulation localization via a dual homology-aware generative adversarial network

• DA-HFNet: Progressive Fine-Grained Forgery Image Detection and Localization Based on Dual Attention

• EC-Net: General image tampering localization network based on edge distribution guidance and contrastive learning

• Frequency-constrained transferable adversarial attack on image manipulation detection and localization

• A Contribution-Aware Noise Feature representation model for image manipulation localization

• Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion

• PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning

• Diffusion models meet image counter-forensics

• Research about the Ability of LLM in the Tamper-Detection Area

• Deep Image Restoration For Image Anti-Forensics

• Deep Image Composition Meets Image Forgery

• Fusion Transformer with Object Mask Guidance for Image Forgery Analysis (OMG-Fuser)

• Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization

• A New Benchmark and Model for Challenging Image Manipulation Detection

• MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization

• Learning Discriminative Noise Guidance for Image Forgery Detection and Localization

• CatmullRom Splines-Based Regression for Image Forgery Localization

• UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization

• Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods

• EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection

• DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization

• IML-ViT: Image Manipulation Localization by Vision Transformer

• CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data

2023

• Image Manipulation Detection Based on Ringed Residual Edge Artifact Enhancement and Multiple Attention Mechanisms

• Improving CoatNet for Spatial and JPEG Domain Steganalysis (ICME '23) [Paper]

• A survey on deep learning-based image forgery detection (PR '23) [Paper]

• PL-GNet: Pixel Level Global Network for detection and localization of image forgeries

• Progressive Feedback-Enhanced Transformer for Image Forgery Localization (arXiv '23) [Paper] [Code]

• Secondary Labeling A Novel Labeling Strategy for Image Manipulation Detection (MM '23) [Paper]

• GP-Net: Image Manipulation Detection and Localization via Long-Range Modeling and Transformers (Appl. Sci. (IF: 2.8, not included in CCFs), MDPI, '23) [Paper]

• DS-Net: Dual supervision neural network for image manipulation localization (IET-IPR '23) [Paper]

• Learning to Immunize Images for Tamper Localization and Self Recovery (TPAMI ‘23) [Paper]

• Semantic-agnostic progressive subtractive network for image manipulation detection and localization (Neurocomputing '23) [Paper]

• Towards Effective Image Manipulation Detection with Proposal Contrastive Learning (TCSVT '23) [Paper] [Code]

• Effective image tampering localization with multi-scale ConvNeXt feature fusion (JVCIR '23) [Paper] [Code]

• Evading Detection Actively: Toward Anti-Forensics against Forgery Localization (arXiv '23) [Paper] [Code]

• ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization (TIFS '23) [Paper] [Code]

• Image manipulation detection by multiple tampering traces and edge artifact enhancement (PR '23) [Paper] (EMT-Net)

• CFL-Net: Image Forgery Localization Using Contrastive Learning (WACV '23) [Paper] [Code]

• TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization (CVPR '23) [Paper] [Project] [Code]

• TBFormer: Two-Branch Transformer for Image Forgery Localization (SPL '23) [Paper] [Code]

• Detecting and Grounding Multi-Modal Media Manipulation (CVPR '23) [Paper] [Code] [Project]

• Hierarchical Fine-Grained Image Forgery Detection and Localization (CVPR '23) [Paper] [Code]

• Edge-aware Regional Message Passing Controller for Image Forgery Localization (CVPR '23) [Paper] [Video]

• AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics (CVPRW '23) [Paper] [Dataset]

• TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization (ICCV '23) [Paper] [Code]

• Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning (ICCV '23) [Paper] [Code]

• Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning (ICCV '23) [Paper] [Code] [ResearchGate]

• SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection (ICCV '23) [Paper]

• Uncertainty-guided Learning for Improving Image Manipulation Detection (ICCV '23) [Paper]

• Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering (arXiv '23) [Paper] [Code]

• Pixel-Inconsistency Modeling for Image Manipulation Localization (arXiv '23) [Paper] ❗Updated

• Perceptual MAE for Image Manipulation Localization: A High-level Vision Learner Focusing on Low-level Features (arXiv '23) [Paper]

• On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics (TIFS '23) (Traditional method, Analysis) [Paper]

2022

• DS-UNet: A dual streams UNet for refined image forgery localization (InfoS '22) [Paper]

• MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization (ArXiv '22) [Paper]

• Towards JPEG-Resistant Image Forgery Detection and Localization Via Self-Supervised Domain Adaptation (TPAMI '22) [Paper]

• ESRNet: Efficient Search and Recognition Network for Image Manipulation Detection (TOMCCAP '22) [Paper] [Tool]

• Learning to localize image forgery using end-to-end attention network (Neurocomputing '22) [Paper] [Code]

• MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection (TPAMI '22) [Paper] [Code]

• Robust Image Forgery Detection Over Online Social Network Shared Images (CVPR '22) [Paper] [Code]

• ObjectFormer for Image Manipulation Detection and Localization (CVPR '22) [Paper]

• GCA-Net: Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection (CVPRW '22) [Paper]

• Non-Semantic Evaluation of Image Forensics Tools: Methodology and Database (WACV '22) [Paper] [Code]

• JPEG Compression-aware Image Forgery Localization (MM '22) [Paper]

• Image Manipulation Localization Using Multi-Scale Feature Fusion and Adaptive Edge Supervision (TMM '22) [Paper]

• PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization (TCSVT '22) [Paper] [Code]

• Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization (TIFS '22) [Paper] [Code] (LocateNet / SATFL)

• M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection (ICMR '22) [Paper] [Code]

• A Principled Design of Image Representation: Towards Forensic Tasks (TPAMI '22) [Paper] [Code]

• TBNet: A Two-stream Boundary-aware Network for Generic Image Manipulation Localization (KDE '22) [Paper]

• Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization (IJCV '22) [Paper] [Code]

• Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection (arXiv '22) (Survey) [Paper]

• Generic Image Manipulation Localization through the Lens of Multi-scale Spatial Inconsistence (MM '22) [Paper]

2021

• Multi-modality image manipulation detection (ICME '21) [Paper]

• MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention (TCSVT '21) [Paper]

• Image Manipulation Detection by Multi-View Multi-Scale Supervision (ICCV '21) [Paper] [Code]

• TransForensics: Image Forgery Localization with Dense Self-Attention (ICCV '21) [Paper]

• Self-supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images (ICCV '21) [Paper]

• Image Tampering Localization Using a Dense Fully Convolutional Network (TIFS '21) [Paper] [Code] (DenseFCN)

• Image Manipulation Localization Using Attentional Cross-Domain CNN Features (TNNLS '21) [Paper]

2020 and before

• A Full-Image Full-Resolution End-to-EndTrainable CNN Framework for Image Forgery Detection (IEEE Access '20) **[Paper]

• Constrained R-CNN: A general image manipulation detection model [Paper] [Code]

• A CNNBased Camera Model Fingerprint (TIFS '20) **[Paper]

• An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics (CVPR '20) [Paper] [Code]

• A dense u-net with cross-layer intersection for detection and localization of image forgery (ICASSP '20) [Paper] [Note_unofficial]

• Generate, Segment, and Refine: Towards Generic Manipulation Segmentation (AAAI '20) [Paper] [Code] (GSRNet)

• SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization (ECCV '20) [Paper] [Code]

• Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries (TIP '19) [Paper] [Code]

• ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features (CVPR '19) [Paper] [Code]

• Learning Rich Features for Image Manipulation Detection (CVPR '18) [Paper] [Code]

CNN-synthesized

Some of the above papers also contain methods to detect tampered images generated by GANs or DMs or LLMs related for synthetic images

• Frequency-aware Correlation Discovering and Spatial Forgery Clue Distilling for Synthetic Image Detection

• ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection

• ImgEdit: A Unified Image Editing Dataset and Benchmark

• Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

• MFF-Net: A multi-view feature fusion network for generalized forgery image detection

• STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification

• So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection

• Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective

• Spatial-Temporal Reconstruction Error for AIGC-based Forgery Image Detection

• Noise-Informed Diffusion-Generated Image Detection With Anomaly Attention

• FAMSeC: A Few-Shot-Sample-Based General AI-Generated Image Detection Method

• FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics

• Exploring the Collaborative Advantage of Low-level Information on Generalizable AI-Generated Image Detection

• AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era

• Can GPT tell us why these images are synthesized? Empowering Multimodal Large Language Models for Forensics

• Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach

• FakeReasoning: Towards Generalizable Forgery Detection and Reasoning

• Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation

• LEGION: Learning to Ground and Explain for Synthetic Image Detection

• Survey on AI-Generated Media Detection: From Non-MLLM to MLLM

• A Sanity Check for AI-generated Image Detection

• MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs

• Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection (CVPR '24) [Paper]

• Preserving Fairness Generalization in Deepfake Detection (CVPR '24) [Paper] [Code]

• Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection (ECCV '24) [Paper] [Code]

• Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection (arXiv '23) [Paper]

• AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors (arXiv '23) [Paper] [Code]

• MaLP: Manipulation Localization Using a Proactive Scheme (CVPR '23) [Paper] [Code]

• Discrepancy-Guided Reconstruction Learning for Image Forgery Detection (IJCAI '23) [Paper] [Code]

• Generalizable Synthetic Image Detection via Language-guided Contrastive Learning (arXiv '23) [Paper] [Code]

• Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization (arXiv '23) [Paper] [Code]

• Discrepancy-Guided Reconstruction Learning for Image Forgery Detection (arXiv '23) [Paper]

• Masked Relation Learning for DeepFake Detection (TIFS '23) [Paper]

Image Splicing

图像的拼接篡改检测定位

• Image splicing localization method driven by device difference feature guidance

2024

• Image splicing forgery detection: A review

• Multi-Scale Cross-Fusion and Edge-Supervision Network for Image Splicing Localization

• D-Net: A dual-encoder network for image splicing forgery detection and localization

• UGEE-Net: Uncertainty-Guided and Edge-Enhanced Network for Image Splicing Localization (Neural Networks '24) [Paper] [Dataset]

• Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics (arXiv '24) [Paper]

• A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler (arXiv '24) [Paper]

• Feature Aggregation and Region-Aware Learning for Detection of Splicing Forgery (SPL '24) [Paper]

• Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset ( Signal, Image and Video Processing (IF: 2.3, not included in CCFs), '24 ) [Paper]

2023

• GreatSplicing: A Semantically Rich Splicing Dataset (arXiv '23) [Paper] [Dataset]

• Multi-scale attention context-aware network for detection and localization of image splicing: Efficient and robust identification network (Appl. Intell. 23') [Paper]

• A Multi-Stream Fusion Network for Image Splicing Localization (MMM '23) [Paper]

• Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces (TIFS '23) [Paper] [IEEE Paper]

• Biomedical Image Splicing Detection using Uncertainty-Guided Refinement (arXiv '23) [Paper]

• A New Method to Detect Splicing Image Forgery Using Convolutional Neural Network (Applied Science (IF: 2.8, not included in CCFs), MDPI, '23) [Paper]

• Multi-scale Target-Aware Framework for Constrained Image Splicing Detection and Localization (MM '23) [Paper]

2022

• Multi-Task SE-Network for Image Splicing Localization (TCSVT '22) [Paper] [Code]

• ET: Edge-Enhanced Transformer for Image Splicing Detection (SPL '22) [Paper]

• Image splicing forgery detection by combining synthetic adversarial networks and hybrid dense U-net based on multiple spaces (IJIS '22) [Paper] [Code]

• SISL:Self-Supervised Image Signature Learning for Splicing Detection & Localization (CVPRW '22) [Paper]

• Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images (TIFS '22) [Paper]

• Coarse-to-fine-grained method for image splicing region detection (PR '22) [Paper]

2021

• CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing (WACV '21) [Paper] [Code]

• Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering (TIFS '21) [Paper] [Code]

• Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing (Data, MDPI '21) [Paper]

• Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization (ICCV '21) [Paper]

• Multi-Task Wavelet Corrected Network for Image Splicing Forgery Detection and Localization (ICME '21) [Paper]

• Detection and Localization of Multiple Image Splicing Using MobileNet V1 (IEEE Access '21) [Paper]

2020 and before

• D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization (arXiv '20) [Paper]

• Exposing splicing forgery in realistic scenes using deep fusion network (InfoS '20) [Paper]

• Locating splicing forgery by adaptive-SVD noise estimation and vicinity noise descriptor (Neurocomputing '20) [Paper]

• Adversarial Learning for Constrained Image Splicing Detection and Localization Based on Atrous Convolution (TIFS '19) [Paper] [Code]

• RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection (CVPRW' 19) [Paper] [Code]

• Mixed adversarial generators for image splice detection (NeuIPS '19) [Paper] [Code]

• Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random Fields (ECCV '18)

• Image splicing localization using a multi-task fully convolutional network (mfcn) (JVCIR '18) [Paper] [Code]

• Fighting Fake News: Image Splice Detection via Learned Self-Consistency (ECCV '18) [Paper] [Code]

• Deep Fusion Network for Splicing Forgery Localization (ECCV '18)

• Deep matching and validation network: An end-to-end solution to constrained image splicing localization and detection (MM '17) [Paper]

Image Harmonization

图像协调化

• Toward Realistic Image Compositing with Adversarial Learning (CVPR '19) [Paper] [Code_unofficial]

• Image Harmonization with Transformer (ICCV '21) [Paper]

• SSH: A Self-Supervised Framework for Image Harmonization (ICCV '21) [Paper] [Code]

• Image Harmonization with Region-wise Contrastive Learning (ArXiv '22) [Paper]

• Harmonizer: Learning to Perform White-Box Image and Video Harmonization (ECCV '22) [Paper] [Code]

• Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization (ECCV '22) [Paper] [Code]

• High-Resolution Image Harmonization via Collaborative Dual Transformations (CVPR '22) [Paper] [Code_unofficial]

• SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization (CVPR '22) [Paper] [Code]

• PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color Transformations (CVPR '23)

• Semi-supervised Parametric Real-world Image Harmonization (CVPR '23) [Paper] [Code] [Project]

• LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization(CVPR '23) [Paper]

• Burstormer: Burst Image Restoration and Enhancement Transformer (CVPR '23) [Paper] [Code]

Video Forgery

• Explainable Manipulated Videos Detection Using Multimodal Large Language Models

• Real-Time Video Forgery Detection via Vision-WiFi Silhouette Correspondence

• Dual-PST: Dual-Branch SpatioTemporal-Planar Network for Video Forgery Detection

• AvatarShield: Visual Reinforcement Learning for Human-Centric Video Forgery Detection

• SEDN: A Spatiotemporal Encoder-Decoder Network for End-to-End Object Removal Forgery Detection in High-Resolution Videos

• BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation

• Face Forgery Video Detection via Temporal Forgery Cue Unraveling

• Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning

Face Forgery

人脸篡改，篡改方法以及检测问题

• Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localization

• HAMLET-FFD: Hierarchical Adaptive Multi-modal Learning Embeddings Transformation for Face Forgery Detection

• Semantic Token Transformer for Face Forgery Detection

• DeCLIP: Decoding CLIP Representations for Deepfake Localization

• Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection

• Towards General Visual-Linguistic Face Forgery Detection

• Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection

• FD-GAN: Generalizable and Robust Forgery Detection via Generative Adversarial Networks

• DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion

• Can We Leave Deepfake Data Behind in Training Deepfake Detector?

• Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture

• Hierarchical Forgery Classifier On Multi-modality Face Forgery Clues

• Identity-Driven Multimedia Forgery Detection via Reference Assistance

• MCS-GAN: A Different Understanding for Generalization of Deep Forgery Detection (TMM '23) [Paper]

• Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection (AAAI '24) [Paper] [Code]

• Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking (CVPR '24)

• Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection (CVPR '24) [Paper]

• Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection (ICLR '24) [Paper] [Code]

• Improving Fairness in Deepfake Detection (WACV '24) [Paper] [Code]

• Weakly-Supervised Deepfake Localization in Diffusion-Generated Images (WACV '24) [Paper] [Code]

• Controllable Guide-Space for Generalizable Face Forgery Detection (ICCV '23) [Paper]

• RAIRNet: Region-Aware Identity Rectification for Face Forgery Detection (MM '23) [Paper]

• Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation (ICCV '23) [Paper] [Code]

• UCF: Uncovering Common Features for Generalizable Deepfake Detection (ICCV '23) [Paper]

• Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection (TIP '23) [Paper] [Code]

• Contrastive Multi-FaceForensics: An End-to-end Bi-grained Contrastive Learning Approach for Multi-face Forgery Detection (arXiv '23') [Paper]

• Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection (arXiv '23') [Paper]

• AUNet: Learning Relations Between Action Units for Face Forgery Detection (CVPR '23) [Paper]

• AltFreezing for More General Face Forgery Detection (CVPR '23) [Paper] **[Code]88

• $F^2$Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection (TIFS '23) [Paper]

• On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics (TIFS '23) [Paper]

• Multimodaltrace: Deepfake Detection Using Audiovisual Representation Learning (CVPRW '23) [Paper]

• MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection (KBS '22) [Paper]

• Multi-Scale Wavelet Transformer for Face Forgery Detection (ACCV '22) [Paper]

• Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection (CVPR '22) [Paper] [Code]

• SSTNet: Detecting Manipulated Faces Through Spatial, Steganalysis and Temporal Features (ICASSP '20) [Paper]

• Portrait shadow manipulation (ACM MM / TOG '20) [Paper] [Code]

Copy Move

复制移动篡改定位问题

• DSTNet: Distinguishing Source and Target Areas for Image Copy-Move Forgery Detection

• A Two-Phase Scheme by Integration of Deep and Corner Feature for Balanced Copy-Move Forgery Localization

• DCM-Net: A Diffusion Model-Based Detection Network Integrating the Characteristics of Copy-Move Forgery

• A Copy-move Forgery Detection Network based on Selective Sampling Attention and Low-cost Two-step Self-correlation Calculation

• TransCMFD: An adaptive transformer for copy-move forgery detection

• Copy-move Forgery Image Detection based on Cross-Scale Modeling and Alternating Refinement

• Copy-Move Detection in Optical Microscopy: A Segmentation Network and A Dataset

• Copy-Move Forgery Detection and Question Answering for Remote Sensing Image

• CMCF-Net: An End-to-End Context Multiscale Cross-Fusion Network for Robust Copy-Move Forgery Detection

• Robust Image Hashing via CP Decomposition and DCT for Copy Detection (TOMM '24) [Paper]

• Lightweight and High-Precision Network for Image Copy-Move Forgery Detection (SPL '24) [Paper]

• Advancing Copy-Move Manipulation Detection in Complex Image Scenarios Through Multiscale Detector (IEEE Access ‘24) [Paper]

• Cascaded Adaptive Graph Representation Learning for Image Copy-Move Forgery Detection (TOMM '24) [Paper]

• Image Copy-Move Forgery Detection and Localization Scheme: How to Avoid Missed Detection and False Alarm (arXiv '24) [Paper] [Code]

• Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning (arXiv '24) [Paper]

• Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining (WWW '24) [Paper]

• UCM-Net: A U-Net-Like Tampered-Region-Related Framework for Copy-Move Forgery Detection (TMM '24) [Paper]

• An effective image copy-move forgery detection using entropy image (arXiv '23) [Paper]

• CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning (arXiv '23) [Paper]

• An approach for copy-move image multiple forgery detection based on an optimized pre-trained deep learning model (KBS '23) [Paper]

• Image Copy-Move Forgery Detection via Deep Cross-Scale PatchMatch (ICME '23) [Paper]

• BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization (ECCV '18) [Paper] [Code]

• A Serial Image Copy-Move Forgery Localization Scheme With Source/Target Distinguishment (TMM '20) [Paper] [Code]

• DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization (CVPR '20) [Paper] [Code]

• Two-Stage Copy-Move Forgery Detection with Self Deep Matching and Proposal SuperGlue (TIP '22) [Paper]

• QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method (Neurocomputing '22) [Paper] [Code]

• Shrinking the Semantic Gap: Spatial Pooling of Local Moment Invariants for Copy-Move Forgery Detection (TIFS '23) [Paper] [Code]

Image Inpainting

• Dense Feature Interaction Network for Image Inpainting Localization

• Image Inpainting Detection via Dual Guidance of Uncertainty and Precise Boundary Information

• COCO-Inpaint: A Benchmark for Image Inpainting Detection and Manipulation Localization

• A Large-scale AI-generated Image Inpainting Benchmark

• InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models

• Wavelet based inpainting detection

• Enhanced Wavelet Scattering Network for image inpainting detection

Tamper Text in Detection

图像中的文本篡改检测问题 (parts of)

• RealDTT: Towards a Comprehensive Real-World Dataset for Tampered Text Detection

• Revisiting Tampered Scene Text Detection in the Era of Generative AI

• ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement

• FantasyID: A dataset for detecting digital manipulations of ID-documents Dataset

• Towards Generalized Physical Occlusion Detection On Documents

• DITL²: Dual-Stage Invariance Transfer Learning for Generalizable Document Image Tampering Localization

• Document image forgery detection and localization in desensitization scenarios

• Handwritten Signature Verification via Multimodal Consistency Learning

• Cross-Attention Based Two-Branch Networks for Document Image Forgery Localization in the Metaverse

• Explainable Tampered Text Detection via Multimodal Large Models

• Enhancing Tampered Text Detection through Frequency Feature Fusion and Decomposition

• Delving into Adversarial Robustness on Document Tampering Localization

• Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning

• Generalized Tampered Scene Text Detection in the era of Generative AI

• A Two-Stage Dual-Path Framework for Text Tampering Detection and Recognition (arXiv '24) [Paper]

• CTP-Net: Character Texture Perception Network for Document Image Forgery Localization (arXiv '23) [Paper]

• Toward Real Text Manipulation Detection: New Dataset and New Solution (arXiv '23) [Paper] [Code] ❗Updated

• Towards Robust Tampered Text Detection in Document Image: New dataset and New Solution (CVPR '23) [Paper] [Code]

• Progressive Supervision for Tampering Localization in Document Images (ICONIP '23) [Paper]

• SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment (arXiv '23) [Paper]

• Image Generation and Learning Strategy for Deep Document Forgery Detection (arXiv '23) [Paper]

• Forgery-free signature verification with stroke-aware cycle-consistent generative adversarial network (Neurocomputing '22) [Paper] [Code]

• Document Forgery Detection in the Context of Double JPEG Compression (ICPR '22) [Paper]

Low Level Vision

Related resources:

• https://github.com/Kobaayyy/Awesome-ICCV2021-Low-Level-Vision

• https://github.com/lcybuzz/Low-Level-Vision-Paper-Record

Low-level tasks include super-resolution, denoise, dehze, low-light enhancement, etc. High-level tasks include classification, detection, segmentation, etc. segmentation, and so on. However, the ones I have listed here are probably still mainly related to tampering detection.

Testing the new layout of paper title.

📖Paper, 👨‍💻Code, 📦Dataset, 🔗Other links, 📜News,

*Equal contribution. #Corresponding author.

• Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models

• (EVP) Explicit Visual Prompting for Low-Level Structure Segmentations (CVPR '23) 📖, 👨‍💻 (including defocus blur, shadow, forgery, camouflaged dection)

  Weihuang Liu¹, Xi Shen², Chi-Man Pun^#,1, Xiaodong Cun^#,2

  ¹University of Macau ²Tencent AI Lab

• SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device (ICCV '23) 📖, 👨‍💻

  Weiran Gou^∗1,2, Ziyao Yi^∗1,2, Yan Xiang^1,2, Shaoqing Li^1,2, Zibin Liu^1,2, Dehui Kong^1,2, Ke Xu^#1,2

  ¹State Key Laboratory of Mobile Network and Mobile Multimedia Technology, ²Sanechips Technology, Chengdu, China

• Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision (ICLR '24_) 📖, 👨‍💻

  Haoning Wu^1*, Zicheng Zhang^2*, Erli Zhang^1*, Chaofeng Chen¹, Liang Liao¹, Annan Wang¹, Chunyi Li², Wenxiu Sun³, Qiong Yan³, Guangtao Zhai², Weisi Lin^1#

  ¹Nanyang Technological University, ²Shanghai Jiaotong University, ³Sensetime Research

Image Matching

特征匹配，图像匹配问题。

• FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer(arXiv '23) [Paper]

• LoFTR: Detector-Free Local Matching with Transformers (CVPR '21) [Paper] [Code]

• PATS: Patch Area Transportation with Subdivision for Local Feature Matching (CVPR '23) [Paper] [Code] [Project]

• Adaptive Spot-Guided Transformer for Consistent Local Feature Matching (CVPR '23) [Paper] [Code] [Project]

• ObjectMatch: Robust Registration using Canonical Object Correspondences (CVPR '23) [Paper] [Code] [Project]

Object Detection

目标检测，包括伪装物体目标检测和突出目标检测，COD以及SOD。

• HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping (AAAI '24) [Paper]

• Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection (CVPR '24)

• VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning (CVPR '24) [Paper]

• Weakly Supervised Open-Vocabulary Object Detection (AAAI '24) [Paper]

• OTA: Optimal Transport Assignment for Object Detection (CVPR '21) [Paper] [Code]

• Consistency-basd Active Learning for Object Detection (CVPRW '22) [Paper] [Code]

• Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection (CVPR '22) [Paper] [Code]

• Unsupervised Object Localization: Observing the Background to Discover Objects (CVPR '23) [Paper] [Code]

• Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction (CVPR '23) [Paper] [Code]

• Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers (CVPR '23) [Paper] [Code]

• Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection (IJCAI '23) [Paper]

• Spatial-Aware Token for Weakly Supervised Object Localization (ICCV '23) [Paper] [Code]

• Generative Prompt Model for Weakly Supervised Object Localization (ICCV '23) [Paper] [Code]

• Category-aware Allocation Transformer for Weakly Supervised Object Localization (ICCV '23) [Paper]

Semantic Segmentation

语义分割，将图片中完整语义（具有标签或者类别）的部分分割出来。不仅要进行目标检测检测到图像中的物体，还需要对每个像素分类。

• Generative Semantic Segmentation (CVPR '23) [Paper] [Code]

• EfficientViT: Lightweight Multi-Scale Attention for On-Device Semantic Segmentation [Paper] [Code]

• CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation [Paper] [Code] [Project] [Note_community**]

Anomaly Detection

异常检测，通常用于发现与正常模式或预期模式不符的图像与视频。

• Contextual Affinity Distillation for Image Anomaly Detection (WACV '24) [Paper]

• PromptAD: Zero-Shot Anomaly Detection Using Text Prompts (WACV '24) [Paper]

• Holistic Representation Learning for Multitask Trajectory Anomaly Detection (WACV '24) [Paper] [Code]

Image Steganography

• Finding Incompatible Blocks for Reliable JPEG Steganalysis

• LiDiNet: A Lightweight Deep Invertible Network for Image-in-Image Steganography

Useful Links

1. CVPR 2025 Accepted Papers https://cvpr.thecvf.com/Conferences/2025/AcceptedPapers/

2. ECCV 2024 Accepted papers https://eccv.ecva.net/virtual/2024/papers.html?filter=titles/

3. IJCAI 2024 Main Track Accepted Papers https://ijcai24.org/main-track-accepted-papers/

4. ICLR 2024 Papers List https://openreview.net/group?id=ICLR.cc/2024/Conference

5. WACV 2024 Papers https://openaccess.thecvf.com/WACV2024

6. MM 2023 Proceedings https://dl.acm.org/doi/proceedings/10.1145/3581783

7. ICML 2023 https://dblp.org/db/conf/icml/icml2023.html

8. ICCV 2023 Paper List https://huggingface.co/spaces/ICCV2023/ICCV2023-papers

9. AAAI 2023 https://dblp.org/db/conf/aaai/aaai2023.html

10. SIGGRAPH unofficial https://kesen.realtimerendering.com/ eg SIGGRAPH 2023 https://kesen.realtimerendering.com/sig2023.html

11. TIFS https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10206

12. More...

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