Papers with Code 아카이브
Image Manipulation Detection
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The task of detecting images or image parts that have been tampered or manipulated (sometimes also referred to as doctored). This typically encompasses image splicing, copy-move, or image inpainting.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/99eren99/dis25k
공식 코드https://github.com/CV-Lehigh/Bias_IMD
공식 코드https://github.com/chenyirui/gim
공식 코드GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
https://github.com/dong03/MVSS-Net
공식 코드Image Manipulation Detection by Multi-View Multi-Scale Supervision
https://github.com/idt-iti/mmfusion-iml
공식 코드MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
https://github.com/kakashiz/nedb-net
공식 코드Noise and Edge Based Dual Branch Image Manipulation Detection
https://github.com/mjkwon2021/cat-net
공식 코드Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
https://github.com/nifangbaage/explicit-visual-prompt
공식 코드Explicit Visual Prompting for Low-Level Structure Segmentations
https://github.com/pkorus/neural-imaging
공식 코드https://github.com/polimi-ispl/icpr2020dfdc
공식 코드https://github.com/proteus1991/pscc-net
공식 코드https://github.com/sandy-zeng/pcl
공식 코드Towards Effective Image Manipulation Detection with Proposal Contrastive Learning
https://github.com/scu-zjz/forensichub
공식 코드ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
https://github.com/scu-zjz/imdlbenco
공식 코드IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
https://github.com/shngjz/wildcamera
공식 코드Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
https://github.com/sunzhihao18/ForgerySleuth
공식 코드ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
https://github.com/vishal3477/proactive_imd
공식 코드https://github.com/wangbing1416/hami-m3d
공식 코드Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
https://github.com/yhZhai/WSCL
공식 코드Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
https://github.com/zhenfeiz/cimd
공식 코드A New Benchmark and Model for Challenging Image Manipulation Detection
https://gitlab.com/MISLgit/forensic-similarity-for-digital-images
공식 코드https://github.com/ISICV/ManTraNet
https://github.com/LarryJiang134/Image_manipulation_detection
https://github.com/PeterWang512/FALdetector
https://github.com/RonyAbecidan/Mantranet-pytorch
https://github.com/SunnyHaze/ManTraNet-Pytorch
https://github.com/SuyashSonawane/fakedetector
https://github.com/ZhiHanZ/IRIS0-SPAN
https://github.com/dddb11/MVSS-Net
Image Manipulation Detection by Multi-View Multi-Scale Supervision
https://github.com/ehsannowroozi/RDFS
https://github.com/highwaywu/imageforensicsosn
https://github.com/jhchang/DFDC
https://github.com/nifangbaage/explict-visual-prompt
Explicit Visual Prompting for Universal Foreground Segmentations
https://github.com/pengzhou1108/GSRNet
Generate, Segment and Refine: Towards Generic Manipulation Segmentation
https://github.com/pengzhou1108/RGB-N
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.