add papers

README.md

@@ -37,6 +37,7 @@ description: >-
 * [ ] EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention (_CVPR '23_) **\[**[**Paper**](https://arxiv.org/abs/2305.07027)**]** **\[**[**Code**](https://github.com/microsoft/Cream/tree/main/EfficientViT)**]** **\[**[**Note\_community**](https://blog.csdn.net/P\_LarT/article/details/130687567)**]**
 * [ ] Vision Transformers Need Registers _(ICLR '24)_ **[[Paper](https://openreview.net/forum?id=2dnO3LLiJ1)]**
 * [ ] LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors _(ECCV '24)_ **[[Paper](https://www.cs.umd.edu/~sakshams/LiFT/)]**
+* [ ] DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain [![paper](https://img.shields.io/badge/NeurIPS_'24-dc3545)](https://arxiv.org/abs/2410.14980) [![GitHub](https://img.shields.io/github/stars/w2kun/DCDepth?style=flat)](https://github.com/w2kun/DCDepth)
 
 ### Image Tampering
 
@@ -47,6 +48,8 @@ description: >-
 <details open>
 <summary>2024</summary>
 
+* [ ] Learning Universal Features for Generalizable Image Forgery Localization [![Static Badge](https://img.shields.io/badge/OpenReview-6c757d)](https://openreview.net/forum?id=OKzvovmUbh)
+* [ ] A Large-scale Interpretable Multi-modality Benchmark for Image Forgery Localization [![Static Badge](https://img.shields.io/badge/OpenReview-6c757d)](https://openreview.net/forum?id=7AvYFqcNfn)
 * [ ] ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2410.04032)
 * [ ] ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2410.10238)
 * [ ] FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2404.13306) [![GitHub](https://img.shields.io/github/stars/Yixuan423/FakeBench?style=flat)](https://github.com/Yixuan423/FakeBench)
@@ -157,6 +160,7 @@ description: >-
 <details>
 <summary>2021</summary>
 
+* [ ] Multi-modality image manipulation detection (_ICME '21_) **\[**[**Paper**](https://doi.org/10.1109/ICME51207.2021.9428232)**]**
 * [ ] MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention (_TCSVT '21_) **\[**[**Paper**](https://ieeexplore.ieee.org/document/9643421)**]**
 * [ ] Image Manipulation Detection by Multi-View Multi-Scale Supervision (_ICCV '21_) **\[**[**Paper**](https://arxiv.org/abs/2104.06832)**]** **\[**[**Code**](https://github.com/dong03/MVSS-Net)**]**
 * [x] [TransForensics: Image Forgery Localization with Dense Self-Attention](image-forgery/2021/transforensics.md) (_ICCV '21_) **\[**[**Paper**](https://arxiv.org/abs/2108.03871)**]**
@@ -207,7 +211,7 @@ _Some of the above papers also contain methods to detect tampered images generat
 * [ ] D-Net: A dual-encoder network for image splicing forgery detection and localization [![Static Badge](https://img.shields.io/badge/PR_'24-ffc107)](https://arxiv.org/abs/2012.01821) 
 * [ ] UGEE-Net: Uncertainty-Guided and Edge-Enhanced Network for Image Splicing Localization (_Neural Networks '24_) **[[Paper](  https://doi.org/10.1016/j.neunet.2024.106430)]** **[[Dataset](https://github.com/QixianHao/-HTSI12K-dataset)]**
 * [ ] Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics (_arXiv '24_) **[[Paper](https://arxiv.org/abs/2404.16296)]**
-* [ ] A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler
+* [ ] A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler (_arXiv '24_) **[[Paper](https://arxiv.org/abs/2401.06995)]**
 * [ ] Feature Aggregation and Region-Aware Learning for Detection of Splicing Forgery _(SPL '24)_ **[[Paper](https://ieeexplore.ieee.org/abstract/document/10378732/)]**
 * [ ] 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](https://arxiv.org/abs/2401.06998)]**
 
@@ -288,6 +292,7 @@ _Some of the above papers also contain methods to detect tampered images generat
 
 **人脸篡改**，篡改方法以及检测问题
 
+* [ ] Can We Leave Deepfake Data Behind in Training Deepfake Detector? [![arXiv](https://img.shields.io/badge/arXiv_'24-6c757d)](http://arxiv.org/abs/2408.17052)
 * [ ] Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture [![arXiv](https://img.shields.io/badge/arXiv_'24-6c757d)](http://arxiv.org/abs/2408.12791)
 * [ ] Hierarchical Forgery Classifier On Multi-modality Face Forgery Clues [![Static Badge](https://img.shields.io/badge/TMM_'24-ffc107)](https://arxiv.org/abs/2212.14629) [![GitHub](https://img.shields.io/github/stars/EdWhites/HFC-MFFD?style=flat)](https://github.com/EdWhites/HFC-MFFD)
 * [ ] Identity-Driven Multimedia Forgery Detection via Reference Assistance [![paper](https://img.shields.io/badge/MM_'24-dc3545)](https://openreview.net/forum?id=aspe8HE0ZA)
@@ -376,6 +381,8 @@ Low-level tasks include super-resolution, denoise, dehze, low-light enhancement,
 >
 > \*Equal contribution. #Corresponding author.
 
+* [ ] Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models [![arXiv](https://img.shields.io/badge/CVPR_'24-dc3545)](https://openaccess.thecvf.com/content/CVPR2024/html/Wu_Q-Instruct_Improving_Low-level_Visual_Abilities_for_Multi-modality_Foundation_Models_CVPR_2024_paper.html) [![GitHub](https://img.shields.io/github/stars/qcf-568/MIML?style=flat)](https://github.com/Q-Future/Q-Instruct/)
+
 * [ ] (**EVP**) Explicit Visual Prompting for Low-Level Structure Segmentations (_CVPR '23_) [📖](https://arxiv.org/abs/2303.10883), [👨‍💻](https://github.com/NiFangBaAGe/Explicit-Visual-Prompt) (_including defocus blur, shadow, forgery, camouflaged dection_)
 
   > [Weihuang Liu](https://github.com/nifangbaage)<sup>1</sup>, [Xi Shen](https://xishen0220.github.io/)<sup>2</sup>, [Chi-Man Pun](https://www.cis.um.edu.mo/\~cmpun/)<sup>#,1</sup>, [Xiaodong Cun](https://vinthony.github.io/)<sup>#,2</sup>
@@ -439,6 +446,11 @@ Low-level tasks include super-resolution, denoise, dehze, low-light enhancement,
 * [ ] PromptAD: Zero-Shot Anomaly Detection Using Text Prompts _(WACV '24)_  **[[Paper](https://openaccess.thecvf.com/content/WACV2024/html/Li_PromptAD_Zero-Shot_Anomaly_Detection_Using_Text_Prompts_WACV_2024_paper.html)]**
 * [ ] Holistic Representation Learning for Multitask Trajectory Anomaly Detection _(WACV '24)_  **[[Paper](https://arxiv.org/abs/2311.01851)]** **[[Code](https://alexandrosstergiou.github.io/project_pages/TrajREC/index.html)]**
 
+### Image Steganography
+
+* [ ] Finding Incompatible Blocks for Reliable JPEG Steganalysis [![paper](https://img.shields.io/badge/TIFS_'24-dc3545)](https://arxiv.org/abs/2402.13660) 
+* [ ] LiDiNet: A Lightweight Deep Invertible Network for Image-in-Image Steganography [![paper](https://img.shields.io/badge/TIFS_'24-dc3545)](https://doi.org/10.1109/TIFS.2024.3463547) 
+
 ### Useful Links
 
 1. IJCAI 2024 Main Track Accepted Papers <https://ijcai24.org/main-track-accepted-papers/>

SUMMARY.md

@@ -24,7 +24,8 @@
 ## Image Forgery
 
 * [2024](image-forgery/2024/README.md)
-
+  * [ForgeryTTT](image-forgery/2024/forgeryttt.md)
+  * [ForgeryGPT](image-forgery/2024/forgerygpt.md)
 * [2023](image-forgery/2023/README.md)
   * [HIFI_IFDL](image-forgery/2023/hifi_ifdl.md)
   * [ReLoC](image-forgery/2023/reloc.md)
@@ -33,7 +34,6 @@
   * [TruFor](image-forgery/2023/trufor.md)
   * [CFL-Net](image-forgery/2023/cfl-net.md)
   * [ERMPC](image-forgery/2023/ermpc.md)
-
 * [2022](image-forgery/2022/README.md)
   * [ObjectFormer](image-forgery/2022/objectformer.md)
   * [IF-OSN](image-forgery/2022/ifosn.md)
@@ -43,13 +43,10 @@
   * [MSFF-AES](image-forgery/2022/msff.md)
   * [CA-IFL](image-forgery/2022/caifl.md)
   * [CAT-Net v2](image-forgery/2022/catnetv2.md)
-
 * [2021](image-forgery/2021/README.md)
   * [TransForensics](image-forgery/2021/transforensics.md)
-
 * [2020](image-forgery/2020/README.md)
   * [GSRNet](image-forgery/2020/gsrnet.md)
-
 * [2019](image-forgery/2019/README.md)
   * [HLED](image-forgery/2019/hled.md)
 

image-forgery/2024/README.md

@@ -1,9 +1,9 @@
 # 2024
 
-* [ ] ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2410.04032)
-* [ ] ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2410.10238)
-* [ ] FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2404.13306) [![GitHub](https://img.shields.io/github/stars/Yixuan423/FakeBench?style=flat)](https://github.com/Yixuan423/FakeBench)
-* [ ] FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2410.02761) [![GitHub](https://img.shields.io/github/stars/zhipeixu/FakeShield?style=flat)](https://github.com/zhipeixu/FakeShield)
+* [x] [ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training](forgeryttt.md) [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2410.04032)
+* [x] [ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization](forgerygpt.md) [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2410.10238)
+* [x] [FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models](fakebench.md) [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2404.13306) [![GitHub](https://img.shields.io/github/stars/Yixuan423/FakeBench?style=flat)](https://github.com/Yixuan423/FakeBench)
+* [x] [FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models](fakeshield.md) [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2410.02761) [![GitHub](https://img.shields.io/github/stars/zhipeixu/FakeShield?style=flat)](https://github.com/zhipeixu/FakeShield)
 * [ ] EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning [![conf](https://img.shields.io/badge/ICANN_'24-28a745)](https://link.springer.com/chapter/10.1007/978-3-031-72335-3_17)
 * [ ] Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-Modal Manipulation [![paper](https://img.shields.io/badge/IJCV_'24-dc3545)](https://arxiv.org/abs/2309.09667)
 * [ ] Detecting and Grounding Multi-Modal Media Manipulation and Beyond [![paper](https://img.shields.io/badge/TPAMI_'24-dc3545)](https://ieeexplore.ieee.org/abstract/document/10440475/) [![GitHub](https://img.shields.io/github/stars/rshaojimmy/MultiModal-DeepFake?style=flat)](https://github.com/rshaojimmy/MultiModal-DeepFake)
@@ -23,20 +23,20 @@
 * [ ] EC-Net: General image tampering localization network based on edge distribution guidance and contrastive learning [![Static Badge](https://img.shields.io/badge/KBS_'24-28a745)](https://doi.org/10.1016/j.knosys.2024.111656)
 * [ ] Frequency-constrained transferable adversarial attack on image manipulation detection and localization [![Static Badge](https://img.shields.io/badge/TVC_'24-28a745)](https://link.springer.com/article/10.1007/s00371-024-03482-4)
 * [ ] A Contribution-Aware Noise Feature representation model for image manipulation localization [![Static Badge](https://img.shields.io/badge/KBS_'24-28a745)](https://doi.org/10.1016/j.knosys.2024.111988)
-* [ ] Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion [![Static Badge](https://img.shields.io/badge/ICASSP_'24-ffc107)](https://arxiv.org/abs/2309.09306) [![GitHub](https://img.shields.io/github/stars/multimediaFor/EITLNet?style=flat)](https://github.com/multimediaFor/EITLNet)
+* [x] [Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion](eitlnet.md) [![Static Badge](https://img.shields.io/badge/ICASSP_'24-ffc107)](https://arxiv.org/abs/2309.09306) [![GitHub](https://img.shields.io/github/stars/multimediaFor/EITLNet?style=flat)](https://github.com/multimediaFor/EITLNet)
 * [ ] PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2401.00653)
 * [ ] Diffusion models meet image counter-forensics [![Static Badge](https://img.shields.io/badge/WACV_'24-ffc107)](https://arxiv.org/abs/2311.13629) [![GitHub](https://img.shields.io/github/stars/mtailanian/diff-cf?style=flat)](https://github.com/mtailanian/diff-cf)
 * [ ] Research about the Ability of LLM in the Tamper-Detection Area [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2401.13504)
 * [ ] Deep Image Restoration For Image Anti-Forensics [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2405.02751) [![GitHub](https://img.shields.io/github/stars/99eren99/DIRFIAF?style=flat)](https://github.com/99eren99/DIRFIAF)
 * [ ] Deep Image Composition Meets Image Forgery [![Static Badge](https://img.shields.io/badge/arXiv_'24-6c757d)](https://arxiv.org/abs/2404.02897) [![GitHub](https://img.shields.io/github/stars/99eren99/DIS25k?style=flat)](https://github.com/99eren99/DIS25k)
-* [ ] Fusion Transformer with Object Mask Guidance for Image Forgery Analysis [![Static Badge](https://img.shields.io/badge/CVPRW_'24-dc3545)](https://arxiv.org/abs/2403.12229) [![GitHub](https://img.shields.io/github/stars/mever-team/omgfuser?style=flat)](https://github.com/mever-team/omgfuser)
+* [ ] [Fusion Transformer with Object Mask Guidance for Image Forgery Analysis](omg-fuser.md) [![Static Badge](https://img.shields.io/badge/CVPRW_'24-dc3545)](https://arxiv.org/abs/2403.12229) [![GitHub](https://img.shields.io/github/stars/mever-team/omgfuser?style=flat)](https://github.com/mever-team/omgfuser)
 * [ ] Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization [![arXiv](https://img.shields.io/badge/MMM_'24-28a745)](https://arxiv.org/abs/2312.01790) [![GitHub](https://img.shields.io/github/stars/idt-iti/mmfusion-iml?style=flat)](https://github.com/idt-iti/mmfusion-iml)
-* [ ] A New Benchmark and Model for Challenging Image Manipulation Detection [![arXiv](https://img.shields.io/badge/AAAI_'24-dc3545)](https://arxiv.org/abs/2311.14218) [![GitHub](https://img.shields.io/github/stars/ZhenfeiZ/CIMD?style=flat)](https://github.com/ZhenfeiZ/CIMD)
+* [x] [A New Benchmark and Model for Challenging Image Manipulation Detection](cimd.md) [![arXiv](https://img.shields.io/badge/AAAI_'24-dc3545)](https://arxiv.org/abs/2311.14218) [![GitHub](https://img.shields.io/github/stars/ZhenfeiZ/CIMD?style=flat)](https://github.com/ZhenfeiZ/CIMD)
 * [ ] MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization [![arXiv](https://img.shields.io/badge/AAAI_'24-dc3545)](https://ojs.aaai.org/index.php/AAAI/article/view/28520) [![arXiv](https://img.shields.io/badge/News-4096ff.svg)](https://dml.fudan.edu.cn/d1/65/c35285a643429/page.htm)
 * [ ] Learning Discriminative Noise Guidance for Image Forgery Detection and Localization [![arXiv](https://img.shields.io/badge/AAAI_'24-dc3545)](https://ojs.aaai.org/index.php/AAAI/article/view/28608)
 * [ ] CatmullRom Splines-Based Regression for Image Forgery Localization [![arXiv](https://img.shields.io/badge/AAAI_'24-dc3545)](https://ojs.aaai.org/index.php/AAAI/article/view/28548)
 * [ ] UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization [![arXiv](https://img.shields.io/badge/CVPR_'24-dc3545)](https://openaccess.thecvf.com/content/CVPR2024/papers/Li_UnionFormer_Unified-Learning_Transformer_with_Multi-View_Representation_for_Image_Manipulation_Detection_CVPR_2024_paper.pdf)
-* [ ] Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods [![arXiv](https://img.shields.io/badge/CVPR_'24-dc3545)](https://openaccess.thecvf.com/content/CVPR2024/papers/Qu_Towards_Modern_Image_Manipulation_Localization_A_Large-Scale_Dataset_and_Novel_CVPR_2024_paper.pdf) [![GitHub](https://img.shields.io/github/stars/qcf-568/MIML?style=flat)](https://github.com/qcf-568/MIML)
+* [x] [Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods](miml.md) [![arXiv](https://img.shields.io/badge/CVPR_'24-dc3545)](https://openaccess.thecvf.com/content/CVPR2024/papers/Qu_Towards_Modern_Image_Manipulation_Localization_A_Large-Scale_Dataset_and_Novel_CVPR_2024_paper.pdf) [![GitHub](https://img.shields.io/github/stars/qcf-568/MIML?style=flat)](https://github.com/qcf-568/MIML)
 * [ ] EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection [![arXiv](https://img.shields.io/badge/CVPR_'24-dc3545)](https://arxiv.org/abs/2312.08883) [![GitHub](https://img.shields.io/github/stars/xuanyuzhang21/EditGuard?style=flat)](https://github.com/xuanyuzhang21/EditGuard)
 * [ ] DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization [![arXiv](https://img.shields.io/badge/CVPR_'24-dc3545)](https://openaccess.thecvf.com/content/CVPR2024/papers/Yu_DiffForensics_Leveraging_Diffusion_Prior_to_Image_Forgery_Detection_and_Localization_CVPR_2024_paper.pdf)
 * [ ] IML-ViT: Image Manipulation Localization by Vision Transformer [![arXiv](https://img.shields.io/badge/AAAI_'24-dc3545)](https://arxiv.org/abs/2307.14863) [![GitHub](https://img.shields.io/github/stars/SunnyHaze/IML-ViT?style=flat)](https://github.com/SunnyHaze/IML-ViT)