25 open-source projects similar to crywang/rfm, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection Chao Feng, Ziyang Chen, Andrew Owens University of Michigan, Ann Arbor
Beijing Jiaotong University, YanShan University, A*Star
Landmark Recurrent Network: An efficient and robust framwork for Deepfakes detection
Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Nießner, Luisa Verdoliva
Official PyTorch implementation of the paper "TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization"
2023.8.20: :rocket: We release a novel and more powerful forgery detection framework FOCAL.
This repository contains PyTorch implementation of the CVPR oral presentation paper:
The official PyTorch implementation for the following paper:
This repo includes the authors' Pytorch implementation of the paper:
Ning Yu\, Vladislav Skripniuk\, Sahar Abdelnabi, Mario Fritz *Equal contribution ICCV 2021 Oral
Ning Yu, Larry Davis, Mario Fritz ICCV 2019
CNN-generated images are surprisingly easy to spot...for now Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros. In CVPR, 2020.
Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, and Shu Hu
2024.3.8 :tada:The improved version TALL++ has been accepted by IJCV2024! 2024.3.7 Updated the basic data preparation code, which is sourced from FaceForensic. 2024.2.18 There is a small error in the version released by ICCV about appendix. We have added the appendix to the text. A revised…
TPAMI 2024 & CVPR 2023 PyTorch code for DGM4: Detecting and Grounding Multi-Modal Media Manipulation and Beyond -->
SeqDeepFake: Detecting and Recovering Sequential DeepFake Manipulation
This is the source code for CVPR 2023 paper Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment by Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li and Wen-Sheng Chu.
This is our new work about Face Forgery Detection, which has been accepted by ECCV 2022 (oral).
The code of multi-attention deepfake detection pretrained models and preprocessing method can be access here https://drive.google.com/file/d/1lYyUe99Goh1YCilt1IOiD9oMO6ig8j1o/view?usp=sharing
Towards Universal Fake Image Detectors that Generalize Across Generative Models Utkarsh Ojha, Yuheng Li, Yong Jae Lee (*Equal contribution) CVPR 2023