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  • Basic Knowledge
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  • Image Forgery
    • 2024
      • ForgeryTTT
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    • 2023
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    • 2021
      • TransForensics
    • 2020
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    • 2019
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  • Image Splicing
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    • 2022
      • Testing-Net
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  • Image Harmonization
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Overview

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

NextDatasets Resources

Last updated 8 days ago

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now marked with different colors( )

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

Related

  • (public information summery)

Basics

Backbone

้ชจๅนฒ็ฝ‘็ปœ๏ผŒๅคšไธบๅ›พๅƒๅˆ†็ฑป็š„็ฝ‘็ปœใ€‚

Image Tampering

ๅ›พๅƒ็ฏกๆ”นๆฃ€ๆต‹ๅฎšไฝ

Image Editing

2025
2024
2023
2022
2021
2020 and before

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

Image Splicing

ๅ›พๅƒ็š„ๆ‹ผๆŽฅ็ฏกๆ”นๆฃ€ๆต‹ๅฎšไฝ

2024
2023
2022
2021
2020 and before

Image Harmonization

ๅ›พๅƒๅ่ฐƒๅŒ–

Face Forgery

ไบบ่„ธ็ฏกๆ”น๏ผŒ็ฏกๆ”นๆ–นๆณ•ไปฅๅŠๆฃ€ๆต‹้—ฎ้ข˜

Copy Move

ๅคๅˆถ็งปๅŠจ็ฏกๆ”นๅฎšไฝ้—ฎ้ข˜

Image Inpainting

Tamper Text in Detection

ๅ›พๅƒไธญ็š„ๆ–‡ๆœฌ็ฏกๆ”นๆฃ€ๆต‹้—ฎ้ข˜ (parts of)

Low Level Vision

Related resources:

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.

๐Ÿ“–Paper, ๐Ÿ‘จโ€๐Ÿ’ปCode, ๐Ÿ“ฆDataset, ๐Ÿ”—Other links, ๐Ÿ“œNews,

*Equal contribution. #Corresponding author.

Image Matching

็‰นๅพๅŒน้…๏ผŒๅ›พๅƒๅŒน้…้—ฎ้ข˜ใ€‚

Object Detection

็›ฎๆ ‡ๆฃ€ๆต‹๏ผŒๅŒ…ๆ‹ฌไผช่ฃ…็‰ฉไฝ“็›ฎๆ ‡ๆฃ€ๆต‹ๅ’Œ็ชๅ‡บ็›ฎๆ ‡ๆฃ€ๆต‹๏ผŒCODไปฅๅŠSODใ€‚

Semantic Segmentation

่ฏญไน‰ๅˆ†ๅ‰ฒ๏ผŒๅฐ†ๅ›พ็‰‡ไธญๅฎŒๆ•ด่ฏญไน‰๏ผˆๅ…ทๆœ‰ๆ ‡็ญพๆˆ–่€…็ฑปๅˆซ๏ผ‰็š„้ƒจๅˆ†ๅˆ†ๅ‰ฒๅ‡บๆฅใ€‚ไธไป…่ฆ่ฟ›่กŒ็›ฎๆ ‡ๆฃ€ๆต‹ๆฃ€ๆต‹ๅˆฐๅ›พๅƒไธญ็š„็‰ฉไฝ“๏ผŒ่ฟ˜้œ€่ฆๅฏนๆฏไธชๅƒ็ด ๅˆ†็ฑปใ€‚

Anomaly Detection

ๅผ‚ๅธธๆฃ€ๆต‹๏ผŒ้€šๅธธ็”จไบŽๅ‘็ŽฐไธŽๆญฃๅธธๆจกๅผๆˆ–้ข„ๆœŸๆจกๅผไธ็ฌฆ็š„ๅ›พๅƒไธŽ่ง†้ข‘ใ€‚

Image Steganography

Useful Links

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

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 โ—Updated

SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model โ—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

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 โ—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

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

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

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

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

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

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

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

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

Learning to Immunize Images for Tamper Localization and Self Recovery (TPAMI โ€˜23) []

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

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

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

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

(TIFS '23) [] []

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

(WACV '23) [] []

(CVPR '23) [] [] []

(SPL '23) [] []

(CVPR '23) [] [] []

(CVPR '23) [] []

(CVPR '23) [] []

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

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

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

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

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

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

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

Pixel-Inconsistency Modeling for Image Manipulation Localization (arXiv '23) [] โ—Updated

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

(TIFS '23) (Traditional method, Analysis) []

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

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

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

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

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

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

(CVPR '22) [] []

(CVPR '22) []

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

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

(MM '22) []

(TMM '22) []

(TCSVT '22) [] []

(TIFS '22) [] [] (LocateNet / SATFL)

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

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

(KDE '22) []

(IJCV '22) [] []

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

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

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

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

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

(ICCV '21) []

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

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

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

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

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

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

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

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

(AAAI '20) [] [] (GSRNet)

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

(TIP '19) [] []

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

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) []

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

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

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

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

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

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

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

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

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

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

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) [] []

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

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

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

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 ) []

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

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

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

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

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

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

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

(TCSVT '22) [] []

(SPL '22) []

(IJIS '22) [] []

(CVPRW '22) []

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

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

(WACV '21) [] []

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

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

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

(ICME '21) []

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

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

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

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

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

(CVPRW' 19) [] []

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

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

(ECCV '18) [] []

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

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

(ICCV '21) []

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

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

(ECCV '22) [] []

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

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

(CVPR '22) [] []

Semi-supervised Parametric Real-world Image Harmonization (CVPR '23) [] [] []

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

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

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

Face Forgery Video Detection via Temporal Forgery Cue Unraveling

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) []

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

(KBS '22) []

(ACCV '22) []

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

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

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

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) []

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

Advancing Copy-Move Manipulation Detection in Complex Image Scenarios Through Multiscale Detector (IEEE Access โ€˜24) []

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

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

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

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

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

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

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

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

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

(ECCV '18) [] []

(TMM '20) [] []

(CVPR '20) [] []

(TIP '22) []

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

(TIFS '23) [] []

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

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) []

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

Toward Real Text Manipulation Detection: New Dataset and New Solution (arXiv '23) [] [] โ—Updated

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

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

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

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

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

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

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)

1, 2, #,1, #,2

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

โˆ—1,2, Ziyao Yiโˆ—1,2, Yan Xiang1,2, Shaoqing Li1,2, Zibin Liu1,2, Dehui Kong1,2, Ke Xu#1,2

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

1*, 2*, 1*, 1, 1, 1, 2, 3, 3, 2, 1#

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

(CVPR '21) [] []

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

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

ObjectMatch: Robust Registration using Canonical Object Correspondences (CVPR '23) [] [] []

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

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

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

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

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

(CVPR '22) [] []

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

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

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

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

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

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

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

(CVPR '23) [] []

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

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation [] [] [] [**]

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

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

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

Finding Incompatible Blocks for Reliable JPEG Steganalysis

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

CVPR 2025 Accepted Papers

ECCV 2024 Accepted papers

IJCAI 2024 Main Track Accepted Papers

ICLR 2024 Papers List

WACV 2024 Papers

MM 2023 Proceedings

ICCV 2023 Paper List

AAAI 2023

SIGGRAPH unofficial eg SIGGRAPH 2023

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ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization
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CFL-Net: Image Forgery Localization Using Contrastive Learning
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TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
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TBFormer: Two-Branch Transformer for Image Forgery Localization
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Detecting and Grounding Multi-Modal Media Manipulation
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Hierarchical Fine-Grained Image Forgery Detection and Localization
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Edge-aware Regional Message Passing Controller for Image Forgery Localization
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ResearchGate
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On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics
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Tool
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Robust Image Forgery Detection Over Online Social Network Shared Images
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ObjectFormer for Image Manipulation Detection and Localization
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JPEG Compression-aware Image Forgery Localization
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Image Manipulation Localization Using Multi-Scale Feature Fusion and Adaptive Edge Supervision
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PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization
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Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization
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TBNet: A Two-stream Boundary-aware Network for Generic Image Manipulation Localization
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Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
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TransForensics: Image Forgery Localization with Dense Self-Attention
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Generate, Segment, and Refine: Towards Generic Manipulation Segmentation
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Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
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Multi-Task SE-Network for Image Splicing Localization
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ET: Edge-Enhanced Transformer for Image Splicing Detection
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Image splicing forgery detection by combining synthetic adversarial networks and hybrid dense U-net based on multiple spaces
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SISL:Self-Supervised Image Signature Learning for Splicing Detection & Localization
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CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing
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Multi-Task Wavelet Corrected Network for Image Splicing Forgery Detection and Localization
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RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection
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Fighting Fake News: Image Splice Detection via Learned Self-Consistency
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Code_unofficial
Image Harmonization with Transformer
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Harmonizer: Learning to Perform White-Box Image and Video Harmonization
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SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization
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MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection
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Multi-Scale Wavelet Transformer for Face Forgery Detection
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BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization
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A Serial Image Copy-Move Forgery Localization Scheme With Source/Target Distinguishment
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DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization
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Two-Stage Copy-Move Forgery Detection with Self Deep Matching and Proposal SuperGlue
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Shrinking the Semantic Gap: Spatial Pooling of Local Moment Invariants for Copy-Move Forgery Detection
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https://github.com/Kobaayyy/Awesome-ICCV2021-Low-Level-Vision
https://github.com/lcybuzz/Low-Level-Vision-Paper-Record
๐Ÿ“–
๐Ÿ‘จโ€๐Ÿ’ป
Weihuang Liu
Xi Shen
Chi-Man Pun
Xiaodong Cun
๐Ÿ“–
๐Ÿ‘จโ€๐Ÿ’ป
Weiran Gou
๐Ÿ“–
๐Ÿ‘จโ€๐Ÿ’ป
Haoning Wu
Zicheng Zhang
Erli Zhang
Chaofeng Chen
Liang Liao
Annan Wang
Chunyi Li
Wenxiu Sun
Qiong Yan
Guangtao Zhai
Weisi Lin
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LoFTR: Detector-Free Local Matching with Transformers
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Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection
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Generative Semantic Segmentation
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https://cvpr.thecvf.com/Conferences/2025/AcceptedPapers/
https://eccv.ecva.net/virtual/2024/papers.html?filter=titles/
https://ijcai24.org/main-track-accepted-papers/
https://openreview.net/group?id=ICLR.cc/2024/Conference
https://openaccess.thecvf.com/WACV2024
https://dl.acm.org/doi/proceedings/10.1145/3581783
https://huggingface.co/spaces/ICCV2023/ICCV2023-papers
https://dblp.org/db/conf/aaai/aaai2023.html
https://kesen.realtimerendering.com/
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https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10206
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