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Pre-rendered training and testing dataset for the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering

Research datakeyboard_double_arrow_right Dataset 20 Dec 2019Publisher:ZenodoFunded by:AKA | Robust Unbiased Image Syn...

Authors: Markus Kettunen; Erik Härkönen; Jaakko Lehtinen;

doi: 10.5281/zenodo.3588466 , 10.5281/zenodo.3588358 , 10.5281/zenodo.3588357 , 10.5281/zenodo.3588443

Pre-rendered training and testing dataset for the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering

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Abstract

Pre-rendered data for training and evaluating the Neural Reconstruction for Gradient-Domain Path Tracing ("NGPT") algorithm described in the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering. See https://github.com/mkettune/ngpt/. Download 'all_datasets.zip' for easy access to all of the data. Alternatively, you may download the datasets one by one. The displayed license (CC BY 4.0) covers the rendering and collection work. Copyrights of the individual scenes may need to be respected as well and are displayed in file 'LICENSE'.

Related Organizations

Aalto University
Finland

1 Research products, page 1 of 1

Deep convolutional reconstruction for gradient-domain rendering
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