There are 5 repositories under inverse-rendering topic.
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
Implementation of papers in 100 lines of code.
🚇 Render React components in placeholders that are placed somewhere else in the component tree.
Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)
List of awesome papers on Intrinsic Decomposition & Inverse Rendering
Differentiable RayTracing in Julia
This is the dataset and code release of the OpenRooms Dataset. For more information, please refer to our webpage below. Thanks a lot for your interest in our research!
[CVPR 2023 - Official] DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors
Official Pytorch implementation of PANDORA: Polarization-Aided Neural Decomposition of Radiance
Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)
Our method takes as input a collection of images (100 in our experiments) with known cameras, and outputs the volumetric density and normals, materials (BRDFs), and far-field illumination (environment map) of the scene.
Official implementation of IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields (Computer Graphics Forum, Pacific Graphics 2023)
Script for generating customized data for indoor scene inverse rendering (e.g. FIPT, FVP, Li22, MonoSDF)
Repository for the Objects With Lighting Dataset
Efficient 3D reconstruction and relighting of complex scenes with global illumination effects using Neural Radiance Transfer Fields
Differentiable Rendering of Parametric Geometry (SIGGRAPH Asia 2023)
Code for the SIGGRAPH Asia 2023 paper "Intrinsic Harmonization for Illumination-Aware Compositing"
DISTWAR atomic reduction optimization on "3D Gaussian Splatting for Real-Time Radiance Field Rendering".
DISTWAR-enabled rasterization engine for the paper "3D Gaussian Splatting for Real-Time Rendering of Radiance Fields"
This is Notebook for Differentiable Rendering/Inverse Rendering written by ZiHao Wang
The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
This is the official repository for IEEE JSTSP paper "Surface Material Perception Through Multimodal Learning".
Official implementation of the paper "Image-based Reconstruction of Heterogeneous Media in the Presence of Multiple Light-Scattering"
Intrinsic components for the MIT Multi-Illumination Dataset
CUDA-based Independent and Customizable Render