DoeringChristian / mitsuba3-experimentsLinks
☆18Updated 2 months ago
Alternatives and similar repositories for mitsuba3-experiments
Users that are interested in mitsuba3-experiments are comparing it to the libraries listed below
Sorting:
- Source code for "A Compact Representation of Measured BRDFs Using Neural Processes" (TOG 2021)☆14Updated 11 months ago
- Implementation Tutorial for Neural Radiosity [Hadadan et al. 2021] in Mitsuba 3☆24Updated 2 years ago
- Unbiased Physically Based Differentiable Renderer☆49Updated last year
- Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)☆36Updated 2 years ago
- The codes for SIGGRAPH 2022 paper "Nerual Layered BRDFs"☆15Updated 2 years ago
- ☆22Updated 2 years ago
- [SIGGRAPH Asia 2024] BSDF importance sampling using a diffusion model☆46Updated 7 months ago
- Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"☆61Updated 11 months ago
- The official repo for [Learning to Learn and Sample BRDFs, Eurographics 2023]☆19Updated 2 years ago
- Code release for Inverse Global Illumination using a Neural Radiometric Prior☆43Updated 2 years ago
- ReSTIR-GI implementation in Mitsuba3☆17Updated 2 years ago
- Vector-Valued Monte Carlo Integration Using Ratio Control Variates☆36Updated last month
- Datasets and benchmarks for neural Monte Carlo denoising.☆22Updated last year
- Reference implementation of the paper "Recursive Control Variates for Inverse Rendering" (SIGGRAPH 2023)☆50Updated 2 years ago
- ☆53Updated last year
- Code for the paper "From microfacets to participating media: A unified theory of light transport with stochastic geometry"☆96Updated last year
- Tutorials and other resources for the Mitsuba 3 library☆64Updated 4 months ago
- ☆29Updated 11 months ago
- Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials☆16Updated last year
- Path-space differentiable renderer☆164Updated 2 years ago
- Official implementation of SIGGRAPH AISA 2023 paper "Texture Atlas Compression Based on Repeated Content Removal"☆73Updated 2 months ago
- Deep learning based method for joint acquisition of both geometry and material☆21Updated 5 years ago
- Export blender scenes to the Nori educational raytracer. Proposed and used in the Computer Graphics course at ETH Zurich, Fall 2020☆17Updated 4 years ago
- UCSD CSE 272 renderer☆102Updated 10 months ago
- Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"☆55Updated 3 years ago
- The official repo for [Neural Differential Appearance Equations, TOG (SIGGRAPH Asia 2024)]☆21Updated 10 months ago
- [SIGGRAPH Asia 2023] Code for our paper "RT-Octree: Accelerate PlenOctree Rendering with Batched Regular Tracking and Neural Denoising fo…☆21Updated last year
- An online test suite for rendering research, based on Disney Research's interactive viewer☆44Updated 3 years ago
- Official implementation of the paper "Neural Importance Sampling of Many Lights", to be presented at ACM SIGGRAPH 2025☆20Updated 4 months ago
- Code release for "Dynamic Neural Radiosity with Multi-grid Decomposition"☆10Updated last year