Re-implementation: "[CVPR 2017] Learning Detailed Face Reconstruction from a Single Image".
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Updated
Nov 5, 2018 - Python
Re-implementation: "[CVPR 2017] Learning Detailed Face Reconstruction from a Single Image".
TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
TF implementation of our CVPR 2021 paper: OSTeC: One-Shot Texture Completion
Masked Face Image Augmentation Tool for Dataset 300W-LP with 6D Head Pose Information.
PyTorch implementation for NED (CVPR 2022). It can be used to manipulate the facial emotions of actors in videos based on emotion labels or reference styles.
Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.
REALY: Rethinking the Evaluation of 3D Face Reconstruction (ECCV 2022)
CVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
Official Pytorch Implementation of SPECTRE: Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
[SIGGRAPH 2023] ClipFace: Text-guided Editing of Textured 3D Morphable Models
Metrical Monocular Photometric Tracker [ECCV2022]
MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]
A 3DMM fitting framework using Pytorch.
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Unofficial implementation of the paper Semantic Deep Face Models by Prashanth Chandran et al. (2020)
Individual Final Year Project on Text-Driven Video Stylization. Please refer to the CapStone branch for more details
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