xeTaiz / dvaoLinks
Official PyTorch implementation of Deep Volumetric Ambient Occlusion (D. Engel and T. Ropinski, IEEE TVCG 2020), presented at IEEE VIS SciVis 2020.
☆8Updated 4 years ago
Alternatives and similar repositories for dvao
Users that are interested in dvao are comparing it to the libraries listed below
Sorting:
- Differentiable Direct Volume Rendering - Source Code☆38Updated 2 years ago
- An online test suite for rendering research, based on Disney Research's interactive viewer☆42Updated 3 years ago
- Source code for our paper "Neural Denoising for Path Tracing of Medical Volumetric Data"☆30Updated 4 years ago
- Tutorials and other resources for the Mitsuba 3 library☆59Updated last month
- CUDA-based interactive volume visualizer.☆20Updated 3 years ago
- This repository will eventually hold the supplemental data and code for the paper: "" which will be presented at SIGGRAPH 2022☆28Updated 2 years ago
- Mitsuba Implementation of SDMM Path Guiding☆18Updated 3 years ago
- Implementation of the paper "Variance-Aware Path Guiding" (SIGGRAPH 2020)☆37Updated 4 years ago
- 2D visualizer for specular path manifolds☆65Updated 3 years ago
- Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"☆54Updated 2 years ago
- ReSTIR-GI implementation in Mitsuba3☆16Updated last year
- Code for "Compositional Neural Scene Representations for Shading Inference"☆26Updated 4 years ago
- Neural Denoising with Layer Embeddings☆54Updated last year
- A collection of examples following the OptiX 7 Siggraph course that demonstrate how to use Slang with OptiX☆13Updated 3 years ago
- Codes of Chi-squared Progressive Photon Mapping☆27Updated 4 years ago
- A differential theory of radiative transfer☆63Updated 5 years ago
- Real-Time Path Guiding Using Bounding Voxel Sampling☆29Updated 10 months ago
- Code for SIGGRAPH Asia 2023 (ToG) paper "Manifold Path Guiding for Importance Sampling Specular Chains"☆39Updated last year
- Source code for "Progressive Denoising of Monte Carlo Rendered Images".☆55Updated 2 years ago
- Code for "Monte Carlo Estimators for Differential Light Transport" (SIGGRAPH 2021) by Tizian Zeltner, Sébastien Speierer, Iliyan Georgiev…☆42Updated 2 years ago
- Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials☆13Updated 10 months ago
- ☆30Updated 4 years ago
- ☆45Updated 5 years ago
- Physically based differentiable rendering in C++☆26Updated 2 years ago
- Source Code for "Neural Prefiltering for Correlation-Aware Levels of Detail" (SIGGRAPH 2023)☆18Updated last year
- ☆19Updated last year
- ☆59Updated 2 years ago
- PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)☆41Updated 6 years ago
- Distributed INRs to learn an encoding of a large-scale volume for query on a local machine with limited computational resources.☆8Updated last year
- A simple interactive ray-tracing renderer.☆46Updated 6 months ago