Official code for "RealFusion: 360° Reconstruction of Any Object from a Single Image" (CVPR 2023)

[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

A collaboration friendly studio for NeRFs

Tooling for the Common Objects In 3D dataset.

Multiview Compressive Coding for 3D Reconstruction

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Web based Spot the Difference game

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

Instant neural graphics primitives: lightning fast NeRF and more

[ICCV'21] UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction

PixelNeRF Official Repository

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

Code for GAN2Shape (ICLR2021 oral)

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Main repository for Vispy

Code for the ECCV2020 paper "Shape and Viewpoint without Keypoints".

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

An example of marching cubes in WebGL, using Rust + WebASM to compute the isosurface

Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

A simple bash script for switching between installed versions of CUDA.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

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

A PyTorch Library for Accelerating 3D Deep Learning Research

👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.