Alternatives and similar repositories for layerdenoise

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

• Aatr0x13 / MC-Denoising-via-Auxiliary-Feature-Guided-Self-Attention
  Official implementation of MC Denoising via Auxiliary Feature Guided Self-Attention (SIGGRAPH Asia 2021 paper)
  ☆45Updated 4 years ago
• balintio / nppd
  Neural Partitioning Pyramids for Denoising Monte Carlo Renderings
  ☆44Updated last year
• CzzzzH / MLTD
  ☆16Updated last year
• CGLab-GIST / deep-combiner
  An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"
  ☆20Updated 3 years ago
• adobe / sbmc
  Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [Siggraph 2019]
  ☆89Updated last year
• xmeng525 / MultiResolutionKernelPredictionCNN
  A Multi-Resolution variant of Kernel Prediction CNN (MR-KP) denoiser
  ☆17Updated 5 years ago
• Nidjo123 / kpcn
  PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)
  ☆43Updated 6 years ago
• mcdenoising / AdvMCDenoise
  ☆45Updated 5 years ago
• CGLab-GIST / self-supervised-post-corr
  An official implementation of SIGGRAPH 2022 paper, "Self-Supervised Post-Correction for Monte Carlo Denoising"
  ☆17Updated last year
• xmeng525 / RealTimeDenoisingNeuralBilateralGrid
  [EGSR2020] Real-time Monte Carlo Denoising with the Neural Bilateral Grid
  ☆72Updated 3 years ago
• AlstonXiao / InteractiveDenoiserWithAffinity
  Implementation for Interactive Monte Carlo Denoising using Affinity of Neural Features
  ☆10Updated 3 years ago
• balintio / noisebase
  Datasets and benchmarks for neural Monte Carlo denoising.
  ☆21Updated last year
• ArthurFirmino / progressive-denoising
  Source code for "Progressive Denoising of Monte Carlo Rendered Images".
  ☆57Updated 3 weeks ago
• bacTlink / mitsuba-CPPM
  Codes of Chi-squared Progressive Photon Mapping
  ☆29Updated 4 years ago
• qbhan / GuidanceMCDenoising
  ☆14Updated last year
• mkettune / ngpt
  Source code for the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering.
  ☆18Updated 5 years ago
• jonathangranskog / shading-scene-representations
  Code for "Compositional Neural Scene Representations for Shading Inference"
  ☆26Updated 5 years ago
• DoeringChristian / restirgi
  ReSTIR-GI implementation in Mitsuba3
  ☆17Updated 2 years ago
• anadodik / sdmm-mitsuba
  Mitsuba Implementation of SDMM Path Guiding
  ☆18Updated 3 years ago
• gradientpm / gradient-mts
  A collection of gradient-domain light transport algorithms implemented with Mitsuba
  ☆87Updated 2 years ago
• joeylitalien / interactive-viewer
  An online test suite for rendering research, based on Disney Research's interactive viewer
  ☆44Updated 3 years ago
• wchang22 / ReSTIR_DR
  Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"
  ☆61Updated 9 months ago
• uci-rendering / dtrt
  A differential theory of radiative transfer
  ☆63Updated 5 years ago
• asztr / Neural-BRDF
  Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)
  ☆34Updated 2 years ago
• cgtuebingen / robust-vmm-guiding
  Robust Fitting of Parallax-Aware Mixtures for Path Guiding - SIGGRAPH 2020
  ☆35Updated 6 months ago
• bing-xu-graphics / neusample_release
  Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials
  ☆15Updated last year
• rgl-epfl / learned-subsurface-scattering
  Code for the paper "A Learned Shape-Adaptive Subsurface Scattering Model", Siggraph 2019
  ☆49Updated 6 years ago
• Mephisto405 / WCMC
  Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]
  ☆31Updated last year
• diolatzis / active-exploration
  ☆39Updated 3 years ago
• iRath96 / variance-aware-path-guiding
  Implementation of the paper "Variance-Aware Path Guiding" (SIGGRAPH 2020)
  ☆38Updated 4 years ago