Implementation of papers in 100 lines of code.
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Updated
May 4, 2024 - Python
Implementation of papers in 100 lines of code.
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
Code for the SIGGRAPH Asia 2023 paper "Intrinsic Harmonization for Illumination-Aware Compositing"
Repo for the paper "Intrinsic Image Decomposition via Ordinal Shading" (TOG 2023)
Differentiable Point-based Inverse Rendering
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.
PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (arXiv, 2024)
Script for generating customized data for indoor scene inverse rendering (e.g. FIPT, FVP, Li22, MonoSDF)
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!
Differentiable Rendering of Parametric Geometry (SIGGRAPH Asia 2023)
Repository for the Objects With Lighting Dataset
Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)
The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility
[CVPR2024] Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields
Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)
Official implementation of the paper "Image-based Reconstruction of Heterogeneous Media in the Presence of Multiple Light-Scattering"
CUDA-based Independent and Customizable Render
DISTWAR-enabled rasterization engine for the paper "3D Gaussian Splatting for Real-Time Rendering of Radiance Fields"
DISTWAR atomic reduction optimization on "3D Gaussian Splatting for Real-Time Radiance Field Rendering".
Intrinsic components for the MIT Multi-Illumination Dataset
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