rgl-epfl / learned-subsurface-scattering
Code for the paper "A Learned Shape-Adaptive Subsurface Scattering Model", Siggraph 2019
☆49Updated 5 years ago
Alternatives and similar repositories for learned-subsurface-scattering:
Users that are interested in learned-subsurface-scattering are comparing it to the libraries listed below
- A collection of gradient-domain light transport algorithms implemented with Mitsuba☆86Updated 2 years ago
- ☆58Updated 2 years ago
- Gradient-domain Volumetric Photon Density Estimation, SIGGRAPH 2018☆41Updated 2 years ago
- Implementation of the paper: Adaptive BRDF-Oriented Multiple Importance Sampling of Many Lights☆33Updated 4 years ago
- ☆25Updated last year
- This code implements the key ideas of the paper: Rendering Specular Microgeometry with Wave Optics, by Ling-Qi Yan, Miloš Hašan, Bruce Wa…☆42Updated 6 years ago
- Robust Fitting of Parallax-Aware Mixtures for Path Guiding - SIGGRAPH 2020☆35Updated 2 months ago
- A set of example tests from my SIGGRAPH Asia 2019 publication: Integral formulations of volumetric transmittance☆30Updated 5 years ago
- This repository contains the source code of the paper Primary-Space Adaptive Control Variates using Piecewise-Polynomial Approximations b…☆21Updated 3 years ago
- Codes of Chi-squared Progressive Photon Mapping☆27Updated 4 years ago
- Towards Learning-based Inverse Subsurface Scattering☆30Updated 3 years ago
- Implementation of the paper "Variance-Aware Path Guiding" (SIGGRAPH 2020)☆37Updated 4 years ago
- Integrating Clipped Spherical Harmonics Expansions☆45Updated 4 years ago
- A differential theory of radiative transfer☆62Updated 5 years ago
- Implementation of the paper "Variance-Aware Multiple Importance Sampling" for bidirectional path tracing in PBRT.☆36Updated 5 years ago
- Immediate-mode fork of the mitsuba renderer. (See Wiki for branches.)☆68Updated 4 years ago
- 2D visualizer for specular path manifolds☆65Updated 3 years ago
- An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"☆20Updated 3 years ago
- Data files for Mitsuba 2☆33Updated 3 weeks ago
- ☆69Updated 4 years ago
- ☆20Updated 6 years ago
- a simple implementation of "Resampling-aware Weighting Functions for Bidirectional Path Tracing Using Multiple Light Sub-Paths" (ACM TOG …☆24Updated 6 months ago
- Source Code for SIGGRAPH Asia 2021 Paper "Ensemble Denoising for Monte Carlo Renderings"☆61Updated 3 years ago
- Code for "Compositional Neural Scene Representations for Shading Inference"☆26Updated 4 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 9 months ago
- An online test suite for rendering research, based on Disney Research's interactive viewer☆42Updated 3 years ago
- Neural Denoising with Layer Embeddings☆54Updated last year
- Mitsuba Implementation of SDMM Path Guiding☆18Updated 3 years ago
- ☆26Updated last year