JP2021034038A5 - - Google Patents
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- JP2021034038A5 JP2021034038A5 JP2020133682A JP2020133682A JP2021034038A5 JP 2021034038 A5 JP2021034038 A5 JP 2021034038A5 JP 2020133682 A JP2020133682 A JP 2020133682A JP 2020133682 A JP2020133682 A JP 2020133682A JP 2021034038 A5 JP2021034038 A5 JP 2021034038A5
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- 238000000034 method Methods 0.000 claims description 15
- 230000002085 persistent effect Effects 0.000 claims description 6
- 238000005457 optimization Methods 0.000 claims description 3
- 238000013528 artificial neural network Methods 0.000 claims description 2
- 230000015556 catabolic process Effects 0.000 claims 16
- 238000006731 degradation reaction Methods 0.000 claims 16
- 230000000007 visual effect Effects 0.000 claims 6
- 210000004179 neuropil Anatomy 0.000 claims 4
- 238000013527 convolutional neural network Methods 0.000 claims 2
- 230000002688 persistence Effects 0.000 claims 2
- 240000007124 Brassica oleracea Species 0.000 claims 1
- 235000003899 Brassica oleracea var acephala Nutrition 0.000 claims 1
- 235000012905 Brassica oleracea var viridis Nutrition 0.000 claims 1
- 239000002243 precursor Substances 0.000 description 1
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/542,227 | 2019-08-15 | ||
| US16/542,227 US11080824B2 (en) | 2019-08-15 | 2019-08-15 | Techniques for upscaling images generated with undetermined downscaling kernels |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2021034038A JP2021034038A (ja) | 2021-03-01 |
| JP2021034038A5 true JP2021034038A5 (enExample) | 2021-07-26 |
| JP7303783B2 JP7303783B2 (ja) | 2023-07-05 |
Family
ID=71950572
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020133682A Active JP7303783B2 (ja) | 2019-08-15 | 2020-08-06 | 不明のダウンスケーリングカーネルで生成された画像をアップスケールするための手法 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US11080824B2 (enExample) |
| EP (1) | EP3779863B1 (enExample) |
| JP (1) | JP7303783B2 (enExample) |
| KR (1) | KR102512507B1 (enExample) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11126895B2 (en) * | 2019-05-22 | 2021-09-21 | Lawrence Livermore National Security, Llc | Mimicking of corruption in images |
| US12217386B2 (en) * | 2020-10-01 | 2025-02-04 | Nvidia Corporation | Image generation using one or more neural networks |
| US11769227B2 (en) * | 2021-08-12 | 2023-09-26 | Adobe Inc. | Generating synthesized digital images utilizing a multi-resolution generator neural network |
| US12062152B2 (en) | 2021-08-27 | 2024-08-13 | Disney Enterprises, Inc. | Re-noising and neural network based image enhancement |
| US12493927B2 (en) * | 2021-09-30 | 2025-12-09 | Baidu Usa Llc | Robust and efficient blind super-resolution using variational kernel autoencoder |
| US20230144735A1 (en) * | 2021-11-09 | 2023-05-11 | Netflix, Inc. | Techniques for jointly training a downscaler and an upscaler for video streaming |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10970819B2 (en) * | 2017-05-26 | 2021-04-06 | Rakuten, Inc. | Image processing device, image processing method, and image processing program |
| US10885608B2 (en) * | 2018-06-06 | 2021-01-05 | Adobe Inc. | Super-resolution with reference images |
| US11107205B2 (en) * | 2019-02-18 | 2021-08-31 | Samsung Electronics Co., Ltd. | Techniques for convolutional neural network-based multi-exposure fusion of multiple image frames and for deblurring multiple image frames |
| US10977524B2 (en) * | 2019-04-11 | 2021-04-13 | Open Text Sa Ulc | Classification with segmentation neural network for image-based content capture |
-
2019
- 2019-08-15 US US16/542,227 patent/US11080824B2/en active Active
-
2020
- 2020-08-05 EP EP20189699.0A patent/EP3779863B1/en active Active
- 2020-08-06 JP JP2020133682A patent/JP7303783B2/ja active Active
- 2020-08-12 KR KR1020200101045A patent/KR102512507B1/ko active Active
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