yuyingyeh / rdae
Implementation of SIGGRAPH'17 paper: Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder
☆18Updated 6 years ago
Alternatives and similar repositories for rdae:
Users that are interested in rdae are comparing it to the libraries listed below
- ☆45Updated 5 years ago
- A Multi-Resolution variant of Kernel Prediction CNN (MR-KP) denoiser☆17Updated 4 years ago
- Neural Denoising with Layer Embeddings☆55Updated last year
- Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [Siggraph 2019]☆87Updated 11 months ago
- Source code for the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering.☆17Updated 5 years ago
- An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"☆20Updated 3 years ago
- Code for "Compositional Neural Scene Representations for Shading Inference"☆26Updated 4 years ago
- Implementation of the paper: Adaptive BRDF-Oriented Multiple Importance Sampling of Many Lights☆33Updated 4 years ago
- Code for the paper "A Learned Shape-Adaptive Subsurface Scattering Model", Siggraph 2019☆49Updated 5 years ago
- An implementation of the paper Gradient Outlier Removal for Gradient-Domain Path Tracing☆13Updated 5 years ago
- [EGSR2020] Real-time Monte Carlo Denoising with the Neural Bilateral Grid☆72Updated 2 years ago
- PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)☆41Updated 6 years ago
- Codes of Chi-squared Progressive Photon Mapping☆28Updated 4 years ago
- Code for SIGGRAPH 2020 paper "Langevin Monte Carlo Rendering with Gradient-based Adaptation"☆73Updated 4 years ago
- ☆68Updated 4 years ago
- ☆39Updated 2 years ago
- A collection of gradient-domain light transport algorithms implemented with Mitsuba☆86Updated last year
- A differential theory of radiative transfer☆62Updated 5 years ago
- ☆57Updated 2 years ago
- Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://…☆53Updated 6 years ago
- A implementation for SIGGRAOH 2015 The SGGX Microflake Distribution☆21Updated 8 years ago
- A set of example tests from my SIGGRAPH Asia 2019 publication: Integral formulations of volumetric transmittance☆30Updated 5 years ago
- Towards Learning-based Inverse Subsurface Scattering☆30Updated 3 years ago
- This repository contains a non-exponential transmittance operator that can be used with PyTorch☆18Updated 3 years ago
- Official implementation of MC Denoising via Auxiliary Feature Guided Self-Attention (SIGGRAPH Asia 2021 paper)☆43Updated 3 years ago
- Robust Fitting of Parallax-Aware Mixtures for Path Guiding - SIGGRAPH 2020☆35Updated last month
- Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]☆32Updated last year
- Implementation of the paper "Variance-Aware Multiple Importance Sampling" for bidirectional path tracing in PBRT.☆36Updated 5 years ago
- Source code release for Temporal Gradient-Domain Path Tracing [Manzi and Kettunen et al. 2016]☆15Updated 6 years ago
- Data files for Mitsuba 2☆33Updated last week