qbhan / GuidanceMCDenoisingLinks
☆14Updated last year
Alternatives and similar repositories for GuidanceMCDenoising
Users that are interested in GuidanceMCDenoising are comparing it to the libraries listed below
Sorting:
- Neural Denoising with Layer Embeddings☆54Updated last year
- ReSTIR-GI implementation in Mitsuba3☆17Updated 2 years ago
- Official implementation of MC Denoising via Auxiliary Feature Guided Self-Attention (SIGGRAPH Asia 2021 paper)☆45Updated 4 years ago
- Code for SIGGRAPH 2024 (ToG) paper "Conditional Mixture Path Guiding for Differentiable Rendering"☆23Updated last year
- ☆16Updated last year
- Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"☆61Updated last year
- Implementation for Interactive Monte Carlo Denoising using Affinity of Neural Features☆10Updated 4 years ago
- A Multi-Resolution variant of Kernel Prediction CNN (MR-KP) denoiser☆17Updated 5 years ago
- Mitsuba Implementation of SDMM Path Guiding☆18Updated 3 years ago
- Neural Partitioning Pyramids for Denoising Monte Carlo Renderings☆45Updated last year
- Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]☆31Updated last year
- An official implementation of SIGGRAPH 2022 paper, "Self-Supervised Post-Correction for Monte Carlo Denoising"☆17Updated 2 years ago
- Code for SIGGRAPH Asia 2024 (TOG) Paper "Efficient Image-Space Shape Splatting for Monte Carlo Rendering"☆29Updated last year
- Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)☆37Updated 2 years ago
- An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"☆20Updated 3 years ago
- Datasets and benchmarks for neural Monte Carlo denoising.☆22Updated last year
- ☆45Updated 6 years ago
- ☆23Updated 3 years ago
- ☆22Updated 2 years ago
- Implementation Tutorial for Neural Radiosity [Hadadan et al. 2021] in Mitsuba 3☆24Updated 2 years ago
- PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)☆43Updated 6 years ago
- ☆28Updated 11 months ago
- Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials☆16Updated last year
- Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"☆55Updated 3 years ago
- Reference implementation of the paper "Recursive Control Variates for Inverse Rendering" (SIGGRAPH 2023)☆50Updated 2 years ago
- The codes for SIGGRAPH 2022 paper "Nerual Layered BRDFs"☆16Updated 2 years ago
- GPU prototype implementation for neural parametric mixtures guiding☆29Updated 10 months ago
- Fast and accurate spherical harmonics products☆23Updated 3 years ago
- Source code for "Progressive Denoising of Monte Carlo Rendered Images".☆56Updated 3 months ago
- Vector-Valued Monte Carlo Integration Using Ratio Control Variates☆37Updated 2 months ago