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3d-machine-learning

A resource repository for 3D machine learning

3d_pspnet

Pyramid Scene Parsing Network in 3D: improving semantic seg- mentation of point clouds with multi-scale contextual information

3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

adelaidepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

awesome-nerf

A curated list of awesome neural radiance fields papers

awesome-scene-understanding

A resource repository for scene understanding

awesome_3dreconstruction_list

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

csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

fang-hao

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

interplane

lidar_for_ad_references

A list of references on lidar point cloud processing for autonomous driving

manifoldplus

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

neroic

neus

Code release for NeuS

opendigitaltwin

This project will create an open source CAX platform that enables users to build and connect digital twins for products and processes.

pointgroup

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

pointnerf

Point-NeRF: Point-based Neural Radiance Fields

primitivenet

PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric (ICCV 2021)

robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

softgroup

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

svox2

Plenoxels: Radiance Fields without Neural Networks, Code release WIP