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3d_inverse_renderer

Python-based Blender simulator of photorealistic 3D models, with ground truth PBR geometry & material outputs for training AI

awesome-implicit-representations

A curated list of resources on implicit neural representations.

awesome-inverserendering

List of awesome papers on Inverse Rendering

awesome-slam-datasets

A curated list of awesome datasets for SLAM

awsome_deep_geometry_learning

A list of resources about deep learning solutions on 3D shape processing

blender

clone of git://git.blender.org/blender.git + my branches

blender-lightprobes

Spherical harmonic light probes for Blender's Cycles render engine

build_mitsuba_scene

Build mitsuba scene files

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

depth-map-visualizer

Convert depth map to a 3D mesh

differentiable-rgb-to-hsv-convertion-pytorch

A pytorch implementation that converts image RGB color space into HSV allowing differentiable back-propagate

frankmocap

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

graphics

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

hdr-plenoxels

[ECCV'22] Official PyTorch Implementation of "HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields"

hps_dataset_scripts

Demo scripts for HPS Dataset (http://virtualhumans.mpi-inf.mpg.de/hps/)

idr

illumination-estimation

EMLight: Lighting Estimation via Spherical Distribution Approximation [AAAI 2021] and Sparse Needlets for Lighting Estimation with Spherical Transport Loss [ICCV 2021]

indoorinverserendering

[SIGGRAPH Asia'22] Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing

invrender

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

ios-depth-sampler

Code examples for Depth APIs in iOS

kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

merge-hdr-photo-by-opencv

mitsuba2_render_multiview

ml-neilf

ml2022-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

nerf

Code release for NeRF (Neural Radiance Fields)

nerf_atlas

A collection of NeRF extensions for fun and experimentation.

neural-light-transport

Neural Light Transport for Relighting and View Synthesis