Efficient Implementation of Marching Cubes' Cases with Topological Guarantees

Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.

Official implementation of 3Doodle: Compact Abstraction of Objects with 3D Strokes (SIGGRAPH 24', Journal track)

RShiny application for calculating different reroll scenarios in TFT. Applies Markov chain properties to make calculations efficient.

Source code for serveral papers on discrete Laplace operators on general polygons and polyhedral meshes

Mixbox is a library for natural color mixing based on real pigments.

an interactive gondola adventure

Team fight tactics AI

A playbook for systematically maximizing the performance of deep learning models.

Maps a user-selected point to a segmentation which induces a low distortion parameterization

Official implementation of the 2020 ECCV paper Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

Set sail on anime computer graphics!

some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!

Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

A C++ & Python viewer for 3D data like meshes and point clouds

Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.

Convolutional Neural Network for 3D meshes in PyTorch

Software rendering engine with PBR. Built from scratch on C++.

R package fastLink: Fast Probabilistic Record Linkage

A uniform interface to run deep learning models from multiple frameworks

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.