[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
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Updated
Mar 11, 2020 - Python
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
An repo to explore the field of face reenactment.
Facial Reenactment from Sparse Landmarks using StyleGAN3
SuperGAN aims to develope subject agnostic real-time Face Swaping.
A curated list of articles and codes related to face forgery generation and detection.
The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
One-Shot Landmark-Based Face Reenactment
[NeurIPS 2023] Learning Motion Refinement for Unsupervised Face Animation
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
Code repo for NTUA DSML MSc thesis
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
[WACV 2024] "CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer"
This is the official repository for OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering [CVPR2023].
PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)
Code and data for the CVPR24 paper "EFHQ: Multi-purpose ExtremePose-Face-HQ dataset" [CVPR'24]
Official implementation of the CVPR 2024 paper "FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features"
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