Alternatives and similar repositories for NPs-BRDF

Users that are interested in NPs-BRDF are comparing it to the libraries listed below

• asztr / Neural-BRDF
  Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)
  ☆30Updated 2 years ago
• wchang22 / ReSTIR_DR
  Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"
  ☆60Updated 5 months ago
• krafton-ai / neural-radiosity-tutorial-mitsuba3
  Implementation Tutorial for Neural Radiosity [Hadadan et al. 2021] in Mitsuba 3
  ☆21Updated last year
• shinyoung-yi / lecture-rendering-mitsuba
  seminar materials of physically based rendering with tutorials and homework using mitsuba3-python
  ☆12Updated last month
• DoeringChristian / mitsuba3-experiments
  ☆16Updated 3 months ago
• ryushinn / meta-sampling
  The official repo for [Learning to Learn and Sample BRDFs, Eurographics 2023]
  ☆19Updated last year
• fzy28 / BSDF_diffusion_sampling
  [SIGGRAPH Asia 2024] BSDF importance sampling using a diffusion model
  ☆38Updated last month
• tflsguoyu / materialgan
  ☆53Updated 10 months ago
• joyDeng / InverseTranslucent
  ☆29Updated 5 months ago
• ryushinn / ode-appearance
  The official repo for [Neural Differential Appearance Equations, TOG (SIGGRAPH Asia 2024)]
  ☆17Updated 4 months ago
• andyyankai / psdr-jit
  Unbiased Physically Based Differentiable Renderer
  ☆48Updated 6 months ago
• rgl-epfl / recursive_control_variates
  Reference implementation of the paper "Recursive Control Variates for Inverse Rendering" (SIGGRAPH 2023)
  ☆49Updated last year
• inverse-neural-radiosity / inverse-neural-radiosity
  Code release for Inverse Global Illumination using a Neural Radiometric Prior
  ☆40Updated 2 years ago
• sssssy / pytorch-mitsuba-NLB_Release
  The codes for SIGGRAPH 2022 paper "Nerual Layered BRDFs"
  ☆14Updated 2 years ago
• ligoudaner377 / homo_translucent
  ☆17Updated last year
• saeedhd96 / neural-radiosity
  ☆19Updated last year
• bing-xu-graphics / neusample_release
  Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials
  ☆13Updated 10 months ago
• mollnn / conditional-mixture
  Code for SIGGRAPH 2024 (ToG) paper "Conditional Mixture Path Guiding for Differentiable Rendering"
  ☆22Updated 9 months ago
• DoeringChristian / restirgi
  ReSTIR-GI implementation in Mitsuba3
  ☆16Updated last year
• daseyb / gpis-light-transport
  Code for the paper "From microfacets to participating media: A unified theory of light transport with stochastic geometry"
  ☆92Updated 8 months ago
• Jhonve / HairStrandsRendering
  A hair strand rendering tool using the Dear ImGui.
  ☆69Updated 2 months ago
• lxtyin / FabricBTDF-Recovery
  Code for paper: Woven Fabric Capture with a Reflection-Transmission Photo Pair
  ☆12Updated 6 months ago
• rgl-epfl / unbiased-inverse-volume-rendering
  Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"
  ☆54Updated 2 years ago
• Roy-zZZ08 / Texture-Atlas-Compression
  Official implementation of SIGGRAPH AISA 2023 paper "Texture Atlas Compression Based on Repeated Content Removal"
  ☆65Updated last year
• wchang22 / stadam
  Source Code for SIGGRAPH Asia 2024 Paper "Spatiotemporal Bilateral Gradient Filtering for Inverse Rendering"
  ☆23Updated 3 months ago
• hbaatz / nerf-tex
  ☆58Updated 3 years ago
• cocoakang / thinking-lightstage
  Deep learning based method for joint acquisition of both geometry and material
  ☆21Updated 5 years ago
• mitsuba-renderer / mitsuba-tutorials
  Tutorials and other resources for the Mitsuba 3 library
  ☆59Updated last month
• diolatzis / active-exploration
  ☆39Updated 3 years ago
• Zhuoyang-Pan / Awesome-Hair-and-Fur-Modeling-Papers
  A Collection of Papers and Codes about Hair and Fur Modeling
  ☆39Updated 9 months ago