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.
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
Differentiable Surface Splatting
Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)
🚇 Render React components in placeholders that are placed somewhere else in the component tree.
Differentiable RayTracing in Julia
List of awesome papers on Intrinsic Decomposition & Inverse Rendering
Code for the SIGGRAPH Asia 2023 paper "Intrinsic Harmonization for Illumination-Aware Compositing"
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!
Repo for the paper "Intrinsic Image Decomposition via Ordinal Shading" (TOG 2023)
[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.
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)
Official implementation of IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields (Computer Graphics Forum, Pacific Graphics 2023)
Differentiable Point-based Inverse Rendering
CUDA-based Independent and Customizable Render
PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (arXiv, 2024)
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