From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

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

Gaussian Shell Maps for Efficient 3D Human Generation (CVPR 2024)

Independent PyTorch implementation of Scene Representation Transformer

A repository with a variety of meshes with minimal licensing requirements.

3DILG: Irregular Latent Grids for 3D Generative Modeling

[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

The open source mesh processing python library

Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)

A curated list of resources on implicit neural representations.

Fixed Radius Nearest Neighbor Search on GPU

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Paparazzi: Surface Editing by way of Multi-view Image Processing

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

A toolkit for visual computing with a focus on geometry processing

A faster implementation of PointNet++ based on PyTorch.

Geometry Processing Library for Python

Some simple Blender scripts for rendering paper figures

Graph Neural Network Library for PyTorch

Download files from Google Drive using Python 2 or Python 3

PyTorch implementation of Pointnet2/Pointnet++

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity)…