The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

A Unified Framework for Surface Reconstruction

A Python framework for high performance GPU simulation and graphics

A collaboration friendly studio for NeRFs

Stable Diffusion web UI

NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

A curated list of awesome 3d generation papers

Plenoxels: Radiance Fields without Neural Networks

Real-time application of DIVeR

Direct voxel grid optimization for fast radiance field reconstruction.

[NeurIPS'21] Projected GANs Converge Faster

3D-aware GANs based on NeRF (arXiv).

Vector Neurons: A General Framework for SO(3)-Equivariant Networks

Official PyTorch implementation of StyleGAN3

Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch

Generative Adversarial Transformers

StyleGAN2-ADA - Official PyTorch implementation

Image Dataset Tool (idt) is a cli tool designed to make the otherwise repetitive and slow task of creating image datasets into a fast and intuitive process.

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

[CVPR 2021] Adversarial Generation of Continuous Images

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

The implementation of ProxyNCA++.

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

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

High-fidelity performance metrics for generative models in PyTorch