Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Lightning fast C++/CUDA neural network framework

Instant neural graphics primitives: lightning fast NeRF and more

[CVPR 2025] Official repository for "Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders"

PyTorch implementation of Pointnet2/Pointnet++

[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

A Unified Framework for Surface Reconstruction

An android time duration input control and picker dialog as known from Lollipop's stock timer app.

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

[ECCV'20] Convolutional Occupancy Networks

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

Direct voxel grid optimization for fast radiance field reconstruction.

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"

DIVeR: Deterministic Integration for Volume Rendering

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

Official Implementation of Neural Splines

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

Faster-RCNN in Tensorflow

Deep Clustering for Unsupervised Learning of Visual Features

This repository contains code for the paper 'Texture Fields: Learning Texture Representations in Function Space'.

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version