DeepFaceLab: Integrated, flexible and extensible face-swapping framework

Abstract

Deepfake defense not only requires the research of detection but also requires the efforts of generation methods. However, current deepfake methods suffer the effects of obscure workflow and poor performance. To solve this problem, we present DeepFaceLab, the current dominant deepfake framework for face-swapping. It provides the necessary tools as well as an easy-to-use way to conduct high-quality face-swapping. It also offers a flexible and loose coupling structure for people who need to strengthen their pipeline with other features without writing complicated boilerplate code. We detail the principles that drive the implementation of DeepFaceLab and introduce its pipeline, through which every aspect of the pipeline can be modified painlessly by users to achieve their customization purpose. It is noteworthy that DeepFaceLab could achieve cinema-quality results with high fidelity. We demonstrate the advantage of our system by comparing our approach with other face-swapping methods.For more information, please visit:https://github.com/iperov/DeepFaceLab/.

References in corpus (5)

• TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation
• RetinaFace: Single-stage Dense Face Localisation in the Wild
• FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
• Real or Not Real, that is the Question
• Convolution Aware Initialization

Cited by in corpus (7)

• Combining EfficientNet and Vision Transformers for Video Deepfake Detection
• Learning to Discover Forgery Cues for Face Forgery Detection
• Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis
• D2Fusion: Dual-domain Fusion with Feature Superposition for Deepfake Detection
• DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
• Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor
• Generative Models for Security: Attacks, Defenses, and Opportunities