Alternatives and similar repositories for neurcomp

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

• skywolf829 / APMGSRN
  Distributed INRs to learn an encoding of a large-scale volume for query on a local machine with limited computational resources.
  ☆8Updated last year
• xeTaiz / dvao
  Official PyTorch implementation of Deep Volumetric Ambient Occlusion (D. Engel and T. Ropinski, IEEE TVCG 2020), presented at IEEE VIS Sc…
  ☆8Updated 4 years ago
• Nidjo123 / kpcn
  PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)
  ☆41Updated 6 years ago
• shamanDevel / DiffDVR
  Differentiable Direct Volume Rendering - Source Code
  ☆38Updated 2 years ago
• shamanDevel / fV-SRN
  Fast Neural Representations for Direct Volume Rendering
  ☆27Updated 2 years ago
• vishwa91 / wire
  wavelet implicit neural representations
  ☆158Updated last year
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆94Updated 4 years ago
• qbhan / GuidanceMCDenoising
  ☆14Updated last year
• Mephisto405 / WCMC
  Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]
  ☆31Updated last year
• Mira-13 / figure-gen
  A Python package to effortlessly assemble images in comparison figures. Supports LaTeX, PPTX, and HTML.
  ☆118Updated 7 months ago
• mitsuba-renderer / mitsuba-tutorials
  Tutorials and other resources for the Mitsuba 3 library
  ☆59Updated last month
• shamanDevel / AdaptiveSampling
  Source code for "Learning Adaptive Sampling and Reconstruction for Volume Visualization"
  ☆18Updated 2 years ago
• EmilienDupont / coin
  Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸
  ☆149Updated 4 years ago
• CGLab-GIST / deep-combiner
  An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"
  ☆20Updated 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
• asztr / Neural-BRDF
  Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)
  ☆30Updated 2 years ago
• saeedhd96 / neural-radiosity
  ☆19Updated last year
• iribis / regressionmc
  ☆21Updated 2 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)
  ☆44Updated 3 years ago
• CzzzzH / MLTD
  ☆15Updated 9 months ago
• mcdenoising / AdvMCDenoise
  ☆45Updated 5 years ago
• bing-xu-graphics / neusample_release
  Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials
  ☆13Updated 10 months ago
• adobe / sbmc
  Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [Siggraph 2019]
  ☆88Updated last year
• sssssy / pytorch-mitsuba-NLB_Release
  The codes for SIGGRAPH 2022 paper "Nerual Layered BRDFs"
  ☆14Updated 2 years ago
• krafton-ai / neural-radiosity-tutorial-mitsuba3
  Implementation Tutorial for Neural Radiosity [Hadadan et al. 2021] in Mitsuba 3
  ☆21Updated last year
• NVlabs / layerdenoise
  Neural Denoising with Layer Embeddings
  ☆54Updated last year
• joeylitalien / interactive-viewer
  An online test suite for rendering research, based on Disney Research's interactive viewer
  ☆42Updated 3 years ago
• tancik / learnit
  ☆167Updated 3 years ago
• YannickStruempler / inr_based_compression
  Contains the implementation of the paper "Implicit Neural Representation for Image Compression" at ECCV 2022
  ☆47Updated 2 years ago
• cmu-ci-lab / writing
  Writing suggestions and resources for CIRL
  ☆65Updated 6 months ago