Automatic Generation of 3D Videos from 2D Videos without Using Correspondence between Frames
| Project/Area Number |
15H06669
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Multimedia database
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| Research Institution | Waseda University |
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Principal Investigator |
Iizuka Satoshi 早稲田大学, 理工学術院, 次席研究員(研究院講師) (30755153)
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| Project Period (FY) |
2015-08-28 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | コンピュータグラフィクス / 3次元映像 / 画像処理 / ディープラーニング / 3次元形状推定 |
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| Outline of Final Research Achievements |
We have developed a fully convolutional neural network model that directly outputs a depth map from an image for automatically converting 2D videos to 3D videos. The technique can also be applied to videos by processing them frame-by-frame. Additionally, we have developed a method to easily generate complicated weathering effects in images and a technique to automatically colorize old black-and-white photographs with deep learning, which makes the generated 3D images and videos more photorealistic. These research results were accepted to the top conferences in the computer graphics field.
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Report
(3 results)
Research Products
(11 results)
