Wxyxixixi

SPO

Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step

trimesh

Python library for loading and using triangular meshes.

functional-diffusion

PatchRefiner

[ECCV 2024] Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation

NRDF

[CVPR2024(Highlight)] NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors

spider-match

🕷️ SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency

HAN

Heterogeneous Graph Neural Network

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gdc

Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)

SignNet-BasisNet

SignNet and BasisNet

FieldConv

Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]

GINR

Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).

Robust-Reconstruction-of-Watertight-3D-Models

A Python implementation of the paper "Robust Reconstruction of Watertight 3D Models from Non-uniformly Sampled Point Clouds Without Normal Information".

Manifold

Convert any Triangle Mesh to Watertight Manifold

ManifoldPlus

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

DNS

Code release for our SIGGRAPH 2022 paper "Diffeomorphic Neural Surface Parameterization for 3D and Reflectance Acquisition"

common-3d-test-models

Repository containing common 3D test models in original format with original source if known and obj mesh

pyvista

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

manifold-aware-transformers

A novel manifold-aware transfomer architecture for predicting garment dynamics on unseen geometries [EUROGRAPHICS 2024]

pcl

Point Cloud Library (PCL)

meshgpt-pytorch

Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch

mesh-gpt

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

Paint3D

Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models, a no lighting baked texture generative model

Point-UV-Diffusion

(ICCV2023) This is the official PyTorch implementation of ICCV2023 paper: Texture Generation on 3D Meshes with Point-UV Diffusion

stylegan2-ada-3d-texture

Texturify Code

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

PicassoPlus

Geometric deep learning for surface parsing from 3-D triangular meshes

riemannian-score-sde

Score-based generative models for compact manifolds

MeshSimplification

Implementation of the paper "Surface Simplification Using Quadric Error Metrics"