Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
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Updated
Mar 24, 2023 - Python
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
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.
A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on Linux, OSX and Windows.
Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model
State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models, a 3D fundamental model for mesh generation
TEMPEH reconstructs 3D heads in dense semantic correspondence from calibrated multi-view images in about 0.3 seconds.
Procedural terrain generator with tessellation | C++ OpenGL 4.1
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.
3D Product Configurator, Nuxt.js +Three.js ⚡
StickMan 3D: First Round | indie fighting game | C++ OpenGL
Blender Add-on for the FLAME face model
FMeX : Delphi FMX 2D/3D features Addon
MGFX - A cross-platform 2D (CPU & GPU) and 3D (GPU) starter kit.
CloudCompare plugin for loading COLLADA, glTF, and IFC-SPF 3D models
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