krafton-ai / neural-radiosity-tutorial-mitsuba3

Related projects ⓘ

Alternatives and complementary repositories for neural-radiosity-tutorial-mitsuba3

• DoeringChristian / mitsuba3-experiments
  ☆15Updated last week
• DoeringChristian / restirgi
  ReSTIR-GI implementation in Mitsuba3
  ☆14Updated last year
• saeedhd96 / neural-radiosity
  ☆14Updated last year
• asztr / Neural-BRDF
  Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)
  ☆28Updated last year
• bing-xu-graphics / neusample_release
  Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials
  ☆12Updated 4 months ago
• Rendering-at-ZJU / NPs-BRDF
  Source code for "A Compact Representation of Measured BRDFs Using Neural Processes" (TOG 2021)
  ☆10Updated last year
• wchang22 / ReSTIR_DR
  Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"
  ☆55Updated last year
• qbhan / GuidanceMCDenoising
  ☆14Updated 11 months ago
• mollnn / conditional-mixture
  Code for SIGGRAPH 2024 (ToG) paper "Conditional Mixture Path Guiding for Differentiable Rendering"
  ☆16Updated 3 months ago
• joyDeng / InverseTranslucent
  ☆30Updated 2 years ago
• balintio / noisebase
  Datasets and benchmarks for neural Monte Carlo denoising.
  ☆12Updated 7 months ago
• rgl-epfl / recursive_control_variates
  Reference implementation of the paper "Recursive Control Variates for Inverse Rendering" (SIGGRAPH 2023)
  ☆48Updated last year
• andyyankai / psdr-jit
  Unbiased Physically Based Differentiable Renderer
  ☆40Updated 2 weeks ago
• anadodik / sdmm-mitsuba
  Mitsuba Implementation of SDMM Path Guiding
  ☆18Updated 2 years ago
• balintio / nppd
  Neural Partitioning Pyramids for Denoising Monte Carlo Renderings
  ☆38Updated 7 months ago
• ZackMisso / ProgressiveNullTracking_Siggraph2023
  The repository for our publication: "Progressive null-tracking for volumetric rendering" which will be presented at SIGGRAPH 2023 for the…
  ☆22Updated last year
• fzy28 / BSDF_diffusion_sampling
  [SIGGRAPH Asia 2024] BSDF importance sampling using a diffusion model
  ☆35Updated 2 months ago
• tizian / differential-mc-estimators
  Code for "Monte Carlo Estimators for Differential Light Transport" (SIGGRAPH 2021) by Tizian Zeltner, Sébastien Speierer, Iliyan Georgiev…
  ☆42Updated 2 years ago
• SuikaSibyl / vxpg
  Real-Time Path Guiding Using Bounding Voxel Sampling
  ☆25Updated 3 months ago
• mollnn / manifold-path-guiding
  Code for SIGGRAPH Asia 2023 (ToG) paper "Manifold Path Guiding for Importance Sampling Specular Chains"
  ☆39Updated 7 months ago
• AlstonXiao / InteractiveDenoiserWithAffinity
  Implementation for Interactive Monte Carlo Denoising using Affinity of Neural Features
  ☆10Updated 2 years ago
• rgl-epfl / unbiased-inverse-volume-rendering
  Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"
  ☆54Updated 2 years ago
• cmu-ci-lab / inverseTransportNetworks
  Towards Learning-based Inverse Subsurface Scattering
  ☆29Updated 3 years ago
• inverse-neural-radiosity / inverse-neural-radiosity
  Code release for Inverse Global Illumination using a Neural Radiometric Prior
  ☆37Updated last year
• bacTlink / mitsuba-CPPM
  Codes of Chi-squared Progressive Photon Mapping
  ☆27Updated 3 years ago
• diolatzis / active-exploration
  ☆39Updated 2 years ago
• Mephisto405 / WCMC
  Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]
  ☆32Updated 10 months ago
• qingqhua / ControlledMixtureSampling
  Source code for "Revisiting controlled mixture sampling for rendering applications" SIGGRAPH 2023
  ☆20Updated 10 months ago
• sssssy / pytorch-mitsuba-NLB_Release
  The codes for SIGGRAPH 2022 paper "Nerual Layered BRDFs"
  ☆13Updated last year
• LuisaGroup / Efficient-Image-Shape-Splatting
  Code for SIGGRAPH Asia 2024 (TOG) Paper "Efficient Image-Space Shape Splatting for Monte Carlo Rendering"
  ☆19Updated 2 months ago