Nidjo123 / kpcnLinks
PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)
☆43Updated 6 years ago
Alternatives and similar repositories for kpcn
Users that are interested in kpcn are comparing it to the libraries listed below
Sorting:
- ☆45Updated 6 years ago
- Official implementation of MC Denoising via Auxiliary Feature Guided Self-Attention (SIGGRAPH Asia 2021 paper)☆45Updated 4 years ago
- Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [Siggraph 2019]☆89Updated last year
- Neural Denoising with Layer Embeddings☆54Updated last year
- ExtraNet: Real-time Extrapolated Rendering for Low-latency Temporal Supersampling☆80Updated last month
- Implementation of SIGGRAPH'17 paper: Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder☆20Updated 6 years ago
- An official implementation of SIGGRAPH 2022 paper, "Self-Supervised Post-Correction for Monte Carlo Denoising"☆17Updated 2 years ago
- Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]☆31Updated last year
- A Multi-Resolution variant of Kernel Prediction CNN (MR-KP) denoiser☆17Updated 5 years ago
- ☆16Updated last year
- Source code for the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering.☆18Updated 5 years ago
- ☆14Updated last year
- An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"☆20Updated 3 years ago
- Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://…☆54Updated 6 years ago
- [EGSR2020] Real-time Monte Carlo Denoising with the Neural Bilateral Grid☆72Updated 3 years ago
- Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)☆37Updated 2 years ago
- ☆22Updated 2 years ago
- Implementation for Interactive Monte Carlo Denoising using Affinity of Neural Features☆10Updated 4 years ago
- A differential theory of radiative transfer☆63Updated 5 years ago
- Towards Learning-based Inverse Subsurface Scattering☆30Updated 4 years ago
- Code for "Compositional Neural Scene Representations for Shading Inference"☆26Updated 5 years ago
- Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"☆61Updated last year
- ReSTIR-GI implementation in Mitsuba3☆17Updated 2 years ago
- Codes of Chi-squared Progressive Photon Mapping☆29Updated 5 years ago
- Neural Partitioning Pyramids for Denoising Monte Carlo Renderings☆45Updated last year
- A Python package to effortlessly assemble images in comparison figures. Supports LaTeX, PPTX, and HTML.☆132Updated last month
- Code for "Monte Carlo Estimators for Differential Light Transport" (SIGGRAPH 2021) by Tizian Zeltner, Sébastien Speierer, Iliyan Georgiev…☆44Updated 3 years ago
- ☆71Updated 5 years ago
- Robust Fitting of Parallax-Aware Mixtures for Path Guiding - SIGGRAPH 2020☆35Updated 9 months ago
- The codes for SIGGRAPH 2022 paper "Nerual Layered BRDFs"☆16Updated 2 years ago