Popular GitHub Repositories for Riemannian Geometry

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

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

A curated list of papers & resources linked to 3D reconstruction from images.

Resources on the topic of digital morphogenesis (creating form with code). Includes links to major articles, code repos, creative projects, books, software, and more.

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

[ICLR24] Official implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

3D mesh stylization driven by a text input in PyTorch

Riemannian Adaptive Optimization Methods with pytorch optim

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

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

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.

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry