Alternatives and similar repositories for AdvMCDenoise

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

• adobe / sbmc
  Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [Siggraph 2019]
  ☆89Updated last year
• 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
• Nidjo123 / kpcn
  PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)
  ☆43Updated 6 years ago
• NVlabs / layerdenoise
  Neural Denoising with Layer Embeddings
  ☆54Updated last year
• xmeng525 / MultiResolutionKernelPredictionCNN
  A Multi-Resolution variant of Kernel Prediction CNN (MR-KP) denoiser
  ☆17Updated 5 years ago
• yuyingyeh / rdae
  Implementation of SIGGRAPH'17 paper: Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder
  ☆20Updated 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
• CGLab-GIST / deep-combiner
  An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"
  ☆20Updated 3 years ago
• cmu-ci-lab / inverseTransportNetworks
  Towards Learning-based Inverse Subsurface Scattering
  ☆29Updated 4 years ago
• uiuc-graphics / psdr-cuda
  Path-space differentiable renderer
  ☆164Updated 2 years ago
• jonathangranskog / shading-scene-representations
  Code for "Compositional Neural Scene Representations for Shading Inference"
  ☆26Updated 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 2 years ago
• rgl-epfl / unbiased-inverse-volume-rendering
  Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"
  ☆57Updated 3 years ago
• rgl-epfl / learned-subsurface-scattering
  Code for the paper "A Learned Shape-Adaptive Subsurface Scattering Model", Siggraph 2019
  ☆51Updated 6 years ago
• mkettune / ngpt
  Source code for the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering.
  ☆18Updated 5 years ago
• uiuc-graphics / dtrt
  A differential theory of radiative transfer
  ☆63Updated 5 years ago
• BachiLi / diffrender_tutorials
  ☆71Updated 5 years ago
• asztr / Neural-BRDF
  Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)
  ☆36Updated 2 years ago
• fuxihao66 / ExtraNet
  ExtraNet: Real-time Extrapolated Rendering for Low-latency Temporal Supersampling
  ☆80Updated last month
• qbhan / GuidanceMCDenoising
  ☆13Updated 2 years ago
• msraig / DeepInverseRendering
  Source code for our paper Deep Inverse Rendering for High-resolution SVBRDF Estimation from an Arbitrary Number of Images
  ☆64Updated 6 years ago
• lahagemann / pbr_scene_converter
  ☆21Updated 7 years ago
• lzqsd / OptixRenderer
  An optix-based GPU path tracer
  ☆94Updated 3 years ago
• xmeng525 / RealTimeDenoisingNeuralBilateralGrid
  [EGSR2020] Real-time Monte Carlo Denoising with the Neural Bilateral Grid
  ☆72Updated 3 years ago
• bing-xu-graphics / neusample_release
  Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials
  ☆16Updated last year
• joeylitalien / interactive-viewer
  An online test suite for rendering research, based on Disney Research's interactive viewer
  ☆44Updated 3 years ago
• diolatzis / active-exploration
  ☆40Updated 3 years ago
• wchang22 / ReSTIR_DR
  Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"
  ☆60Updated last year
• mitsuba-renderer / mitsuba-tutorials
  Tutorials and other resources for the Mitsuba 3 library
  ☆62Updated 5 months ago
• tflsguoyu / materialgan
  ☆53Updated last year