Deep Adaptive Sampling for Low Sample Count Rendering

Author:

Kuznetsov Alexandr1,Kalantari Nima Khademi1,Ramamoorthi Ravi1

Affiliation:

1. University of California; San Diego

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Reference34 articles.

1. General and robust error estimation and reconstruction for monte carlo rendering;Bauszat;Computer Graphics Forum (Proc. Eurographics),2015

2. Bauszat P. Eisemann M. Magnor M. Adaptive sampling for geometry-aware reconstruction filters Proc. Vision, Modeling and Visualization (VMV) 2011 183 190

3. Bolin M. R. Meyer G. W. A perceptually based adaptive sampling algorithm SIGGRAPH 98 1998 299 309

4. Kernel-predicting convolutional networks for denoising monte carlo renderings;Bako;ACM TOG,2017

5. Interactive reconstruction of monte carlo image sequences using a recurrent denoising autoencoder;Chaitanya;ACM TOG,2017

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3. Denoising-Aware Adaptive Sampling for Monte Carlo Ray Tracing;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings;2023-07-23

4. Interactive neural cascade denoising for 1-spp Monte Carlo images;The Visual Computer;2023-07-12

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