Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model
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Updated
May 17, 2024
Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model
An audio-visual library supports processing audio and video files, a graphics library can load a variety 3D mesh file formats into a generic in-memory representation, and the core library of Gazebo Common contains functionality that spans Base64 encoding/decoding to thread pools.
Mixed (structured/unstructured) 3D mesh generator based on curved cuboid elements (primitives)
CloudCompare plugin for loading COLLADA, glTF, and IFC-SPF 3D models
A minimal, standalone viewer GUI for 3D animations stored as stop-motion sequences of individual .obj mesh files.
Smplify-X implementation. (2024. 03. 18 No Error & Recent version)
Implemented a paper performing loop subdivison and simplification using error quadratic metrics on 3D meshes
Blender Add-on for the FLAME face model
Benchmark for visual localization on imperfect 3D mesh models from the Internet
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.
A cross compiled Scala 3 library that provides accessible functionality to generate, manipulate, and export 3D mesh objects. Currently supports .PLY, and .OBJ/.MTL file formats.
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping.
a pyqtgraph GLViewWidget based viewer utility for viewing mesh, adding images, or text to the 3D view.
A simple obj 3D file format parser and 3D mesh loader library for C
3D Product Configurator, Nuxt.js +Three.js ⚡
TEMPEH reconstructs 3D heads in dense semantic correspondence from calibrated multi-view images in about 0.3 seconds.
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
A 3d cloud mesh is generated from a, set of photos taken from a drone, in airsim environment.
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.
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