gengchun's Stars
knekke/blender_addons
Custom blender addons
libigl/libigl-python-bindings
libigl python bindings
PyMesh/PyMesh
Geometry Processing Library for Python
openai/shap-e
Generate 3D objects conditioned on text or images
eth-ait/aitviewer
A set of tools to visualize and interact with sequences of 3D data.
Meshcapade/wiki
A Wiki on Body-Modelling Technology, maintained by Meshcapade GmbH.
jannessm/quadric-mesh-simplification
Fast python implementation of the quadric mesh simplification algorithm from http://mgarland.org/files/papers/quadrics.pdf
sp4cerat/Fast-Quadric-Mesh-Simplification
Mesh triangle reduction using quadrics
alecjacobson/qslim
Port of Michael Garland's QSlim to compile on Mac OS X
libigl/libigl
Simple MPL-2.0-licensed C++ geometry processing library.
ShuTheWise/MeshSimplificationComparer
Program for comparing various triangular mesh simplification implementations, i.a Blender, OpenFlipper, MeshLab, Progressive Meshes, CGAL Surface Mesh Simplification
reproducibilitystamp/SMI2016_Extrinsic
CalciferZh/SMPL
NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.
ziniuwan/maed
[ICCV 2021] Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation
cgvirus/Blender-Instant-Mesh-Bridge-addon
Blender Instant Mesh Bridge addon
hjwdzh/QuadriFlow
QuadriFlow: A Scalable and Robust Method for Quadrangulation
wjakob/instant-meshes
Interactive field-aligned mesh generator
graphdeco-inria/nerfshop
NeRFshop: Interactive Editing of Neural Radiance Fields
bmild/nerf
Code release for NeRF (Neural Radiance Fields)
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
UX-Decoder/Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
ohwada/Android_Samples
Code Samples for Android