saeedhd96 / neural-radiosity
☆17Updated last year
Alternatives and similar repositories for neural-radiosity:
Users that are interested in neural-radiosity are comparing it to the libraries listed below
- ReSTIR-GI implementation in Mitsuba3☆15Updated last year
- Code for SIGGRAPH 2024 (ToG) paper "Conditional Mixture Path Guiding for Differentiable Rendering"☆21Updated 6 months ago
- GPU prototype implementation for neural parametric mixtures guiding☆20Updated 2 weeks ago
- Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials☆12Updated 7 months ago
- Implementation Tutorial for Neural Radiosity [Hadadan et al. 2021] in Mitsuba 3☆20Updated last year
- Mitsuba Implementation of SDMM Path Guiding☆18Updated 2 years ago
- Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"☆59Updated 2 months ago
- ☆14Updated 6 months ago
- ☆15Updated last week
- Code for SIGGRAPH Asia 2023 (ToG) paper "Manifold Path Guiding for Importance Sampling Specular Chains"☆39Updated 10 months ago
- Real-Time Path Guiding Using Bounding Voxel Sampling☆27Updated 6 months ago
- Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)☆30Updated 2 years ago
- ☆14Updated last year
- An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"☆20Updated 2 years ago
- Datasets and benchmarks for neural Monte Carlo denoising.☆14Updated 9 months ago
- Robust Fitting of Parallax-Aware Mixtures for Path Guiding - SIGGRAPH 2020☆34Updated last year
- Code for the paper "From microfacets to participating media: A unified theory of light transport with stochastic geometry"☆86Updated 5 months ago
- Implementation of a full-wave reference simulator for computing surface reflectance.☆13Updated 3 months ago
- Implementation of the paper "Variance-Aware Path Guiding" (SIGGRAPH 2020)☆37Updated 3 years ago
- ☆21Updated 2 years ago
- Core code of the paper "Unbiased Caustics Rendering Guided by Representative Specular Paths".