inverse-rendering
Here are 35 public repositories matching this topic...
This is Notebook for Differentiable Rendering/Inverse Rendering written by ZiHao Wang
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May 21, 2022
The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility
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Feb 28, 2024 - Jupyter Notebook
Official implementation of the paper "Image-based Reconstruction of Heterogeneous Media in the Presence of Multiple Light-Scattering"
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Feb 21, 2024 - Python
This is the official repository for IEEE JSTSP paper "Surface Material Perception Through Multimodal Learning".
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Aug 9, 2022 - Python
CUDA-based Independent and Customizable Render
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Feb 20, 2024 - C++
Repository for the Objects With Lighting Dataset
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Mar 25, 2024 - Python
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
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May 2, 2024 - Python
NeRF as a Non-Distant Environment Emitter in Physics-based Inverse Rendering (SIGGRAPH 2024)
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Jul 26, 2024 - Python
Intrinsic components for the MIT Multi-Illumination Dataset
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Nov 22, 2023 - Python
Script for generating customized data for indoor scene inverse rendering (e.g. FIPT, FVP, Li22, MonoSDF)
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Mar 30, 2024 - Python
DISTWAR atomic reduction optimization on "3D Gaussian Splatting for Real-Time Radiance Field Rendering".
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Jan 16, 2024 - Python
[CVPR2024] Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields
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Feb 27, 2024
DISTWAR-enabled rasterization engine for the paper "3D Gaussian Splatting for Real-Time Rendering of Radiance Fields"
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Jan 16, 2024 - Cuda
Differentiable Rendering of Parametric Geometry (SIGGRAPH Asia 2023)
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Mar 26, 2024 - Python
PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)
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Mar 31, 2024 - Python
Differentiable Point-based Inverse Rendering
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Jun 3, 2024 - Python
Official implementation of IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields (Computer Graphics Forum, Pacific Graphics 2023)
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Sep 12, 2023 - Python
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.
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Apr 13, 2024 - Jupyter Notebook
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