face-forgery-detection

A curated list of articles and codes related to face forgery generation and detection.

[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection

[CVPR2022] End-to-End Reconstruction-Classification Learning for Face Forgery Detection

The offical implementation of 'FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant'

[CVPR 2025] Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation

Code of masked relation learning for deepfake detection

[IJCV 2024] Towards Unified Defense for Face Forgery and Spoofing Attacks via Dual Space Reconstruction Learning

EfficientNet+MTCNN deepfake detection achieving 87% accuracy with 12.96% EER - Multi-modal video forensics for misinformation prevention

Summary of my research in Deepfake Detection

Dataset of the GANdetection project

Official implementation paper: Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation

GANdetection is an application that can distinguish faces of real people from faces created through GANs

FINAL YEAR PROJECT ON DEEPFAKE DETECTION WITH CNN (USING PYTORCH)

Official implementation of the CMF-Lite lightweight cross-cue fusion detector for deepfake video detection accepted at MIWAI2026

Refining Forgery-Aware Prompts for Deepfake Detection with Pattern Blended Samples