CGLab-GIST / self-supervised-post-corr
An official implementation of SIGGRAPH 2022 paper, "Self-Supervised Post-Correction for Monte Carlo Denoising"
☆16Updated last year
Alternatives and similar repositories for self-supervised-post-corr:
Users that are interested in self-supervised-post-corr are comparing it to the libraries listed below
- An implementation of "Deep Combiner for Independent and Correlated Pixel Estimates"☆20Updated 3 years ago
- Official implementation of MC Denoising via Auxiliary Feature Guided Self-Attention (SIGGRAPH Asia 2021 paper)☆44Updated 3 years ago
- Neural Denoising with Layer Embeddings☆54Updated last year
- ☆14Updated last year
- ☆15Updated 8 months ago
- ☆45Updated 5 years ago
- Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials☆13Updated 9 months ago
- Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"☆59Updated 4 months ago
- Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]☆32Updated last year
- Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"☆54Updated 2 years ago
- Code for "Compositional Neural Scene Representations for Shading Inference"☆26Updated 4 years ago
- Neural Partitioning Pyramids for Denoising Monte Carlo Renderings☆41Updated last year
- Code for SIGGRAPH 2024 (ToG) paper "Conditional Mixture Path Guiding for Differentiable Rendering"☆23Updated 9 months ago
- Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)☆30Updated 2 years ago
- ☆39Updated 3 years ago
- Code for "Monte Carlo Estimators for Differential Light Transport" (SIGGRAPH 2021) by Tizian Zeltner, Sébastien Speierer, Iliyan Georgiev…☆42Updated 2 years ago
- ☆29Updated 4 months ago
- Code release for Inverse Global Illumination using a Neural Radiometric Prior☆40Updated last year
- PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)☆41Updated 6 years ago
- GPU prototype implementation for neural parametric mixtures guiding☆28Updated 2 months ago
- This repository contains the source code for CaMoJAB metric and ALSaRR method described in our SIGGRAPH paper☆12Updated 3 years ago
- This repository contains a non-exponential transmittance operator that can be used with PyTorch☆18Updated 3 years ago
- ReSTIR-GI implementation in Mitsuba3☆16Updated last year
- Datasets and benchmarks for neural Monte Carlo denoising.☆17Updated last year
- Reference implementation of the paper "Recursive Control Variates for Inverse Rendering" (SIGGRAPH 2023)☆49Updated last year
- A differential theory of radiative transfer☆62Updated 5 years ago
- Implementation for Interactive Monte Carlo Denoising using Affinity of Neural Features☆10Updated 3 years ago
- ☆21Updated 2 years ago
- A Multi-Resolution variant of Kernel Prediction CNN (MR-KP) denoiser☆17Updated 4 years ago
- Unofficial re-implementation of a neural supersampling model for real-time rendering☆29Updated last year