From coin to 3D face sculpture of roman emperors
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Updated
Aug 22, 2024 - Python
From coin to 3D face sculpture of roman emperors
This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.
[CVPR'23] Learning Neural Parametric Head Models
Official Pytorch Implementation of SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis (CVPR 2024)
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
This is a implementation of the 3D FLAME model in PyTorch
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.
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.
Blender add-on to implement VOCA neural network.
Regional 3D face reconstruction (Ocular Region)
Fixed version of https://github.com/tomguluson92/PRNet_PyTorch
Project Page of Synthesizing Normalized Faces From Facial Identity Features - [CVPR 2017]
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