Stars
A collection of 3D reconstruction papers in the deep learning era.
List of Anaconda/Miniconda versions and their corresponding Python versions
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
[CVPR2023] Landing Page for "Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts"
A collection of utility functions to prototype geometry processing research in python
PyTorch implementations of Generative Adversarial Networks.
A curated list of resources on implicit neural representations.
A library for detecting and resolving intersections between two surface meshes.
LaTeX style file to add a macro for inserting a linked ORCiD logo
Public code release for the ACM Transactions on Graphics paper "Breaking Good: Fracture Modes for Realtime Destruction" and the NeurIPS 2022 paper "Breaking Bad: A Dataset for Geometric Fracture an…
Some simple Blender scripts for rendering paper figures
Generate watertight meshes and sdf grids from degenerate, non-manifold meshes
Object retrieval and classification networks trained directly on the 3D objects in mesh form.
PyTorch implementation of Pointnet2/Pointnet++
Implementation for Curriculum DeepSDF
[ECCV'20] Convolutional Occupancy Networks
Implicit Geometric Regularization for Learning Shapes
A simple and lightweight Python Arduino communication package.
A simple and lightweight pure Python implementation of RAFT Consensus.
Python library to run Kinect Azure DK SDK functions
C++ implementation for computing occupancy grids and signed distance functions (SDFs) from watertight meshes.
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)
Code for paper: "3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network"
A python module for scientific analysis of 3D data based on VTK and Numpy