Jizhongpeng

AdTree

Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees

android-3D-model-viewer

Android OpenGL 2.0 application to view 3D models. Published on Play Store

AutoX

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

bacon

Official respository for "Band-limited Coordinate Networks for Multiscale Scene Representation" | CVPR 2022

benchmark_VAE

Library for Variational Autoencoder benchmarking

CIPS-3D

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

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

cotta

[CVPR22] CoTTA Code for our CVPR 2022 paper Continual Test-Time Domain Adaptation

Deep-Generalized-Unfolding-Networks-for-Image-Restoration

Accepted by CVPR 2022

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flashlight

A C++ standalone library for machine learning

GCOPTER

A General-Purpose Trajectory Optimizer for Multicopters

HerosNet

HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging (CVPR2022)

hyplex

InvRender

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

LRPCA

Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection

MCmatlab

Numerical simulation tool for Monte Carlo propagation of light in turbid media

mitsuba2

Mitsuba 2: A Retargetable Forward and Inverse Renderer

MST

"Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction" (CVPR 2022) and a Baseline for Spectral Compressive Imaging including our work HDNet, CST, and DAUHST

nr-vqa-consumervideo

No-Reference Video Quality Model for consumer video

openvr

OpenVR SDK

pbrt-v4

Source code to pbrt, the ray tracer described in the forthcoming 4th edition of the "Physically Based Rendering: From Theory to Implementation" book.

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

pseudocylindrical_convolution

Pseudocylindrical convolutions for Learned Omnidirectional Image Compression

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch3d

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

QuantizationAwareDeepOptics

Code for the paper "Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging", CVPR 2022.

StanfordExtra

12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations. Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.

vidar

vmaf

Perceptual video quality assessment based on multi-method fusion.