[ECCV 2020] Reimplementation of 3DDFAv2, including face mesh, head pose, landmarks, and more.
-
Updated
May 27, 2024 - Python
[ECCV 2020] Reimplementation of 3DDFAv2, including face mesh, head pose, landmarks, and more.
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild
Human Face Image Dataset
Papers, Datasets, Benchmarks for 3D Face (Reconstruction, Talking head, etc)
Personal website for Abdallah Dib.
Geometry-aware Face Reconstruction
A 3DMM fitting framework using Pytorch.
[CVPR2023] A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images.
The official Pytorch implementation of TI-Face (1st place at ICCV 2023 workshop).
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)
Mesh to mesh alignment(mesh to mesh registration) and rendering. Scripts to convert FLAME face model to HACK model(same facial topology as ICT-FaceKit).
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
3D face reconstruction with RGB-D images captured by iPhone's TrueDepth camera on iOS.
有空就写点,没空就空着。
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation (ECCV2022)
Face Reconstructor: Mediapipe Holistic + OpenCV for accurate facial landmark detection and mesh-based skin patching
This is a implementation of the 3D FLAME model in PyTorch
Official Pytorch Implementation of SPECTRE: Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
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.
Add a description, image, and links to the face-reconstruction topic page so that developers can more easily learn about it.
To associate your repository with the face-reconstruction topic, visit your repo's landing page and select "manage topics."