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This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.

Ringnet ⭐ 695

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

Curated List Of Awesome 3d Morphable Model Software And Data ⭐ 664

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

Faceformer ⭐ 581

[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers

Faceswap ⭐ 511

3D face swapping implemented in Python

Flame Fitting ⭐ 508

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.

Flame_pytorch ⭐ 444

This is a implementation of the 3D FLAME model in PyTorch

Tf_flame ⭐ 339

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.

Photometric_optimization ⭐ 256

Photometric optimization code for creating the FLAME texture space and other applications

Bfm_to_flame ⭐ 253

Convert from Basel Face Model (BFM) to the FLAME head model

Cross Modal Perceptionist ⭐ 116

CVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

Dataset ⭐ 113

News: the1k dataset is ready for download.

Pytorchconv3d ⭐ 95

I3D and 3D-ResNets in PyTorch

Official code for ICCV 2021 oral paper: Topologically Consistent Multi-View Face Inference Using Volumetric Sampling

3 D Scene Graph ⭐ 59

3D scene graph generator implemented in Pytorch.

Clothware.io ⭐ 14

Turn 2D images of clothing into usable 3D garments. Use Clothware API to automate your clothing design, character design or integrate into your e-commerce solution.

3d Transforms ⭐ 14

3D Transforms is a library to easily work with 3D data and make 3D transformations. This library originally started as a few functions here and there for my own work which I then turned into a library.

Pointcloudlm ⭐ 8

Documentación final del proyecto PointCloudLM

3d_conceptal_design_using_deep_learning ⭐ 6

Sold in Amazon as Textbook 🔛 Springer Lecture Note Series "Advances in Computer Science" 🔛 2019 IEEE Computer Vision Conference

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