Let us control diffusion models!

Official Implementation for "A Neural Space-Time Representation for Text-to-Image Personalization"

Plenoxels: Radiance Fields without Neural Networks

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

Fast and Easy Infinite Neural Networks in Python

Code release for HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling

Python bindings for COLMAP

NeRF for Outdoor Scene Relighting [ECCV 2022]

HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details

Official PyTorch implementation of "Playable Environments: Video Manipulation in Space and Time", CVPR 2022

PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo (ECCV 2022)

[ECCV'20] Convolutional Occupancy Networks

Inverse rendering by optimizing neural SDF and materials from photometric images

The Little Non-linearity That Could

Real-Time Rendering Framework

An unofficial implementation of Neural Lumigraph Rendering in TensorFlow 2.

CVPR 2022 - derender3d: A method for de-rendering a 3D object from a single image into shape, material, and lighting, that is trained in a weakly-supervised fashion relying only on rough shape esti…

This repository contains the code for Learning Neural Light Fields with Ray-Space Embedding Networks.

Neural Factorization of Shape and Reflectance Under an Unknown Illumination

DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene. We achieve NeRF-comparable novel-view synthesis quality with super-fast convergence.

The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

Code release for NeRF (Neural Radiance Fields)

Official Implementation for Fast Training of Neural Lumigraph Representations using Meta Learning.

A massively spiffy yet delicately unobtrusive compression library.