Popular GitHub Repositories for Geometry Processing

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

3D mesh stylization driven by a text input in PyTorch

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

This repository contains the source codes for the paper "AtlasNet: A Papier-Maché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

A learned sampling approach for point clouds (CVPR 2019)

Official implementation of MagicClay: Sculpting Meshes with Generative Neural Fields (Siggraph Asia 2024)

Physically Compatible 3D Object Modeling from a Single Image

Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks [ECCV 2022]

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

CVPR 2020 Workshop on Scalability in Autonomous Driving: GAIS-Net: Geometry-Aware Instance Segmentation with Disparity Maps

Geometric-Shapes-Classification is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a multi-class shape recognition task. It classifies various geometric shapes using the SiglipForImageClassification architecture.