The implementation of this paper, in pytorch.
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Updated
Jun 1, 2018 - Python
The implementation of this paper, in pytorch.
code used on the paper Face Reconstruction with Variational Autoencoder and Face Masks https://arxiv.org/abs/2112.02139
Python project on “Finding set of faces when combined results in face of person A". The application is deployed as PIP Library.
Face Reconstructor: Mediapipe Holistic + OpenCV for accurate facial landmark detection and mesh-based skin patching
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"
Reconstruct depth face image
Face API with Docker, Tensorflow, Keras and PyTorch.
[ICCVW 2023] TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces. 1st place at VSCHH @ ICCV 2023.
Geometry-aware Face Reconstruction
Facial Depth and Normal Estimation using Dual-Pixel Camera (ECCV 22)
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.
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation (ECCV2022)
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.
The training and evaluation code for PRNet (《Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network》)
Official Pytorch Implementation of SPECTRE: Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
[CVPR2023] A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images.
[ECCV 2020] Reimplementation of 3DDFAv2, including face mesh, head pose, landmarks, and more.
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)
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