Published December 20, 2019
| Version v3
Dataset
Open
Pre-rendered training and testing dataset for the paper Deep Convolutional Reconstruction for Gradient-Domain Rendering
- 1. Aalto University
- 2. Aalto University, Nvidia
Description
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'.
Files
all_datasets.zip
Files
(28.1 GB)
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md5:e2bc32220d24b223a4287884ea8c0249
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14.1 GB | Preview Download |
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md5:0a3f14102ddfdf05cee552d41a6034f6
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8.3 kB | Download |
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md5:cda9721659a74551b8822e55701b70f5
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591 Bytes | Preview Download |
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md5:a7aea0fbb683b61db5c19088cc46d376
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636.2 MB | Download |
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md5:b08b32698a436ea540574ab3291f0098
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544.5 MB | Download |
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md5:5622bcab22d0796f14b2a8c265ce068f
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595.7 MB | Download |
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md5:aae467d47d7662e289c184d2e9fd02e0
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725.0 MB | Download |
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md5:8d1682ff97f7ab554a5e2421e3247ef4
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607.0 MB | Download |
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md5:6130c74d24134eb109ed5590c04a7ec9
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708.7 MB | Download |
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md5:4dcbc12ba5e62c71bc9046401529fce1
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408.2 MB | Download |
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md5:d7bc1a05e5d9b3cbb28ad3143d57b331
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322.2 MB | Download |
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md5:902a7ba91bb758bb3d38e51658c5557e
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342.9 MB | Download |
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md5:596dd0767796c83ee752134f05314c6f
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460.6 MB | Download |
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md5:6771a5dc79221b26cfae83608236a870
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399.0 MB | Download |
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md5:d514d8ab21d287bbbb13481934c6b3d1
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407.8 MB | Download |
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md5:e3b6fd639c9b6dcdbfb555181ea20c10
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780.2 MB | Download |
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md5:7c5bc276f2caa87525ed0596b05f3fc7
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748.6 MB | Download |
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md5:e08b6dfb6effef0eb2472eaec5300d23
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780.0 MB | Download |
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md5:bcda1f5b0ad84a0a64929dcb963945fc
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849.9 MB | Download |
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md5:5be915db6683d6ebd307552be4d6eadd
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727.9 MB | Download |
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md5:aed3e05d2d695acf90d9fbdf55621b0e
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819.6 MB | Download |
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md5:ddb9e893ca24bf4e765c5b7e43a50283
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773.0 MB | Download |
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md5:42ebf11b195bcf752458a037e33834af
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692.1 MB | Download |
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md5:04fc68e0da84e34238b9e58e7a3b3903
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889.9 MB | Download |
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md5:d55033e82024bb9bab131fc6c6ef9381
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850.9 MB | Download |
Additional details
Related works
- Is supplement to
- Journal article: 10.1145/3306346.3323038 (DOI)
- Software: https://github.com/mkettune/ngpt/ (URL)