📑 A list of awesome learning-based multi-view stereo papers

A collection of learning resources for curious software engineers

A collection of papers on neural field-based inverse rendering.

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

A curated list of awesome neural radiance fields papers

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

Instant neural graphics primitives: lightning fast NeRF and more

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

A collaboration friendly studio for NeRFs

Code release for NeRF (Neural Radiance Fields)

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction, NeurIPS 2021

Code for "Modeling Indirect Illumination for Inverse Rendering", CVPR 2022

Code for PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing

improves over nerf in 360 capture of unbounded scenes

Caltech101/256, CIFAR-10/100, MNIST/FashionMNIST

東京大学「Pythonプログラミング入門」の教材

ゼロから学ぶPython

Optical Elements Addon for Blender

Master programming by recreating your favorite technologies from scratch.

Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Official code for the CVPR 2023 paper "NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect Illumination".

List of awesome papers on Intrinsic Decomposition & Inverse Rendering

Code release for NeuS

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.