Paper List 2011 - Present

1 Denoising

2015 Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering

2015 Denoising Your Monte Carlo Renders: Recent Advances in Image Space-Adaptive Sampling and Reconstruction (course) http://cgg.unibe.ch/publications/denoising-your-monte-carlo-renders

1.1 Filters using Auxiliary Features

2011 On Filtering the Noise from the Random Parameters in Monte Carlo Rendering

2011 Temporal Light Field Reconstruction for Rendering Distribution Effects http://groups.csail.mit.edu/graphics/tlfr/ (code available)

2012 Reconstructing the Indirect Light Field for Global Illumination.pdf http://groups.csail.mit.edu/graphics/ilfr/ (code available)

2012 Robust Image Denoising using a Virtual Flash Image for Monte Carlo Ray Tracing http://sglab.kaist.ac.kr/VFL/ (code available)

2012 SURE-based Optimization for Adaptive Sampling and Reconstruction http://www.cmlab.csie.ntu.edu.tw/project/sbf/ (code available)

2013 Robust Denoising using Feature and Color Information http://cgg.unibe.ch/publications/robust-denoising-using-feature-and-color-information (code e-mail to [email protected])

2014 Progressive Image Denoising http://cgg.unibe.ch/publications/progressive-image-denoising

2016 Texture Space Caching and Reconstruction for Ray Tracing https://software.intel.com/en-us/articles/texture-space-caching-and-reconstruction-for-ray-tracing (code available)

2016 Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings https://benedikt-bitterli.me/nfor/

2018 Adaptive rendering based on robust principal component analysis

1.2 Image Space Denoising Filters

2012 Adaptive Rendering with Non-Local Means Filtering

2013 Removing the Noise in Monte Carlo Rendering with General Image Denoising Algorithms http://www.ece.ucsb.edu/~psen/PaperPages/removing_MC_noise.html (code available)

2014 Boosting Monte Carlo Rendering by Ray Histogram Fusion

2016 Adaptive Polynomial Rendering https://www.disneyresearch.com/publication/adaptive-polynomial-rendering/

2017 Low-Rank Matrix Completion to Reconstruct Incomplete Rendering Images

2 NN method

2015 A Machine Learning Approach for Filtering Monte Carlo Noise http://cvc.ucsb.edu/graphics/Papers/SIGGRAPH2015_LBF/ (everything available)

2016 Neural Network Ambient Occlusion http://theorangeduck.com/page/neural-network-ambient-occlusion

2017 Deep Shading: Convolutional Neural Networks for Screen Space Shading http://deep-shading-datasets.mpi-inf.mpg.de/ (caffe/dataset)

2017 Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder http://research.nvidia.com/publication/interactive-reconstruction-monte-carlo-image-sequences-using-recurrent-denoising

2017 High-Quality Hyperspectral Reconstruction Using a Spectral Prior http://vclab.kaist.ac.kr/siggraphasia2017p1/index.html (everything)

2017 Kernel-Predicting Convolutional Networks for Denoising Monte Carlo Renderings http://cvc.ucsb.edu/graphics/Papers/SIGGRAPH2017_KPCN/

2017 Beyond a Gaussian Denoiser Residual Learning of Deep CNN for Image Denoising https://github.com/cszn/DnCNN

3 Evaluation

2017 Analysis of reported error in Monte Carlo rendered images

4 CV detail preservation

2016 Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution http://www.icst.pku.edu.cn/struct/Projects/DEGREE.html

2016 Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network https://github.com/tensorlayer/srgan

2017 EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis https://github.com/kkkzm2017/Enhancenet https://webdav.tue.mpg.de/pixel/enhancenet/