Alternatives and similar repositories for WCMC:

Users that are interested in WCMC are comparing it to the libraries listed below

• mcdenoising / AdvMCDenoise
  ☆45Updated 5 years ago
• CGLab-GIST / deep-combiner
  An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"
  ☆20Updated 2 years ago
• qbhan / GuidanceMCDenoising
  ☆14Updated last year
• NVlabs / layerdenoise
  Neural Denoising with Layer Embeddings
  ☆55Updated 11 months ago
• rgl-epfl / unbiased-inverse-volume-rendering
  Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"
  ☆55Updated 2 years ago
• diolatzis / active-exploration
  ☆39Updated 2 years ago
• DoeringChristian / restirgi
  ReSTIR-GI implementation in Mitsuba3
  ☆15Updated last year
• bing-xu-graphics / neusample_release
  Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials
  ☆12Updated 7 months ago
• dvicini / non-exp-transmittance-torch
  This repository contains a non-exponential transmittance operator that can be used with PyTorch
  ☆18Updated 3 years ago
• CGLab-GIST / self-supervised-post-corr
  An official implementation of SIGGRAPH 2022 paper, "Self-Supervised Post-Correction for Monte Carlo Denoising"
  ☆16Updated last year
• 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
• lzqsd / SphericalGaussianOptimization
  ☆81Updated 4 years ago
• asztr / Neural-BRDF
  Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)
  ☆30Updated 2 years ago
• jonathangranskog / shading-scene-representations
  Code for "Compositional Neural Scene Representations for Shading Inference"
  ☆26Updated 4 years ago
• wchang22 / ReSTIR_DR
  Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"
  ☆59Updated 2 months ago
• joyDeng / InverseTranslucent
  ☆30Updated 2 months ago
• iribis / regressionmc
  ☆21Updated 2 years ago
• Nidjo123 / kpcn
  PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)
  ☆41Updated 6 years ago
• saeedhd96 / neural-radiosity
  ☆17Updated last year
• mkettune / ngpt
  Source code for the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering.
  ☆17Updated 5 years ago
• Aatr0x13 / MC-Denoising-via-Auxiliary-Feature-Guided-Self-Attention
  Official implementation of MC Denoising via Auxiliary Feature Guided Self-Attention (SIGGRAPH Asia 2021 paper)
  ☆43Updated 3 years ago
• uci-rendering / dtrt
  A differential theory of radiative transfer
  ☆62Updated 5 years ago
• mollnn / conditional-mixture
  Code for SIGGRAPH 2024 (ToG) paper "Conditional Mixture Path Guiding for Differentiable Rendering"
  ☆22Updated 6 months ago
• inverse-neural-radiosity / inverse-neural-radiosity
  Code release for Inverse Global Illumination using a Neural Radiometric Prior
  ☆39Updated last year
• rgl-epfl / recursive_control_variates
  Reference implementation of the paper "Recursive Control Variates for Inverse Rendering" (SIGGRAPH 2023)
  ☆49Updated last year
• cmu-ci-lab / inverseTransportNetworks
  Towards Learning-based Inverse Subsurface Scattering
  ☆30Updated 3 years ago
• 111116 / shfft
  Fast and accurate spherical harmonics products
  ☆24Updated 3 years ago
• ZackMisso / ProgressiveNullTracking_Siggraph2023
  The repository for our publication: "Progressive null-tracking for volumetric rendering" which will be presented at SIGGRAPH 2023 for the…
  ☆24Updated 2 weeks ago
• xmeng525 / MultiResolutionKernelPredictionCNN
  A Multi-Resolution variant of Kernel Prediction CNN (MR-KP) denoiser
  ☆17Updated 4 years ago
• balintio / noisebase
  Datasets and benchmarks for neural Monte Carlo denoising.
  ☆14Updated 10 months ago