rgl-epfl / recursive_control_variatesLinks
Reference implementation of the paper "Recursive Control Variates for Inverse Rendering" (SIGGRAPH 2023)
☆50Updated last year
Alternatives and similar repositories for recursive_control_variates
Users that are interested in recursive_control_variates are comparing it to the libraries listed below
Sorting:
- Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"☆60Updated 7 months ago
- Unbiased Physically Based Differentiable Renderer☆46Updated 8 months ago
- Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"☆55Updated 2 years ago
- ☆29Updated 6 months ago
- [SIGGRAPH Asia 2024] BSDF importance sampling using a diffusion model☆40Updated 3 months ago
- Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)☆31Updated 2 years ago
- The repository for our publication: "Progressive null-tracking for volumetric rendering" which will be presented at SIGGRAPH 2023 for the…☆24Updated 5 months ago
- Code release for Inverse Global Illumination using a Neural Radiometric Prior☆42Updated 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 for SIGGRAPH 2024 (ToG) paper "Conditional Mixture Path Guiding for Differentiable Rendering"☆22Updated 11 months ago
- Code release for Neural Bounding SIGGRAPH 2024 - neural representation of bounding volumes, learning conservative space classification☆37Updated 11 months ago
- Path-space differentiable renderer☆163Updated last year
- The official repo for [Learning to Learn and Sample BRDFs, Eurographics 2023]☆19Updated 2 years ago
- Repository for SIGGRAPH 2023 paper "A Fast Geometric Multigrid Method for Curved Surfaces"☆66Updated 5 months ago
- Fast and accurate spherical harmonics products☆24Updated 3 years ago
- This is the official implementation of our EGSR 2023 paper, Accelerating Hair Rendering by Learning High-Order Scattered Radiance.☆42Updated last year
- Siggraph Asia 2023 Paper "Extended Path Space Manifold for Physically Based Differentiable Rendering"☆16Updated last year
- Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)☆59Updated 3 months ago
- ☆23Updated 3 years ago
- Code for the paper "From microfacets to participating media: A unified theory of light transport with stochastic geometry"☆93Updated 10 months ago
- This repository contains a non-exponential transmittance operator that can be used with PyTorch☆18Updated 4 years ago
- GPU prototype implementation for neural parametric mixtures guiding☆30Updated 5 months ago
- A Python package for calling Slang modules from PyTorch.☆60Updated last week
- Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials☆14Updated 11 months ago
- Efficient Eikonal equation solver using CUDA☆94Updated 5 months ago
- ☆19Updated last year
- Source Code for SIGGRAPH Asia 2024 Paper "Spatiotemporal Bilateral Gradient Filtering for Inverse Rendering"☆23Updated 5 months ago
- ☆39Updated 3 years ago
- A differential theory of radiative transfer☆63Updated 5 years ago
- A small utility to convert OpenVDB files to the Mitsuba 2 volume format☆22Updated last month