The implementation of this paper, in pytorch.
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Updated
Jun 1, 2018 - Python
The implementation of this paper, in pytorch.
2D face reconstruction using SFSNet, and end-to-end learning framework for producing an accurate decomposition of an unconstrained human face image into shape, reflectance and illuminance.
Volumetric Regression Network based on the work of Aaron S. Jackson - Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
Face API with Docker, Tensorflow, Keras and PyTorch.
The training and evaluation code for PRNet (《Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network》)
[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
Python project on “Finding set of faces when combined results in face of person A". The application is deployed as PIP Library.
Reconstruct depth face image
Facial Depth and Normal Estimation using Dual-Pixel Camera (ECCV 22)
This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.
Official Pytorch Implementation of SPECTRE: Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
This is a implementation of the 3D FLAME model in PyTorch
Face Reconstructor: Mediapipe Holistic + OpenCV for accurate facial landmark detection and mesh-based skin patching
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation (ECCV2022)
[ICCVW 2023] TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces. 1st place at VSCHH @ ICCV 2023.
A 3DMM fitting framework using Pytorch.
Geometry-aware Face Reconstruction
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