Regional 3D face reconstruction (Ocular Region)
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Updated
Nov 8, 2021 - Python
Regional 3D face reconstruction (Ocular Region)
The provided program robustly learns a multilinear face model from databases with missing data, corrupt data, wrong semantic correspondence, and inaccurate vertex correspondence.
Visualize 3d meshes via scripting in scheme
The provided program jointly optimizes a multilinear face model and the registration of the face scans used for model training.
Flexible Object Reconstruction from Multiple Silhouettes. Cashman & Fitzgibbon, 'What Shape are Dolphins? Building 3D Morphable Models from 2D Images', 2012. Updated 2018, Jason Manley.
The program loads a global or a local linear statistical face model and fits it to a point cloud or triangle mesh.
Fixed version of https://github.com/tomguluson92/PRNet_PyTorch
The provided program loads a multilinear wavelet model and fits this model to a point cloud or a triangle mesh.
Basel morphable face model mesh and texture generator using GPU.
The provided program loads a multilinear face model and fits this model to a point cloud or a triangle mesh.
Project Page of Synthesizing Normalized Faces From Facial Identity Features - [CVPR 2017]
Blender Add-on for the FLAME face model
Blender add-on to implement VOCA neural network.
Official Pytorch Implementation of SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis (CVPR 2024)
[CVPR'23] Learning Neural Parametric Head Models
Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model
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.
This is a implementation of the 3D FLAME model in PyTorch
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
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