vdanilov/video-bokeh
Video Bokeh Synthetic video for training and evaluating depth-aware bokeh. Every frame is composited from known layers, so its disparity, the soft matte of each object, its bokeh, its forward and backward optical flow and its occlusion match it by construction. The library, under library/: 8,586 cut-out foregrounds and 20,000 background photos, each with a disparity map. It holds no sequences. The code's generator composes new ones from it while a network trains, as many… See the full description on the dataset page: https://huggingface.co/datasets/vdanilov/video-bokeh.
| Author / organization | vdanilov |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 226 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 October 2026 |
| Last updated at source | 26 October 2026 |
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226 now (+226 since 2026-10-24). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 26 Oct 2026 Description: Video Bokeh Synthetic video for training and evaluating depth-aware bokeh. Every frame is composited from known layers, so its disparity, the soft matte of each object, its bokeh, its forward and backward optical flow and its occlusion matc → Video Bokeh Synthetic video for training and evaluating depth-aware bokeh. Every frame is composited from known layers, so its disparity, the soft matte of each object, its bokeh, its forward and backward optical flow and its occlusion matc
- 26 Oct 2026 Description: Video Bokeh Library Cut-out objects and background photos, each with a disparity map, for composing training video for depth-aware bokeh. The library holds 8,586 foregrounds and 20,000 backgrounds. Stage A of video-bokeh built it once. Stag → Video Bokeh Synthetic video for training and evaluating depth-aware bokeh. Every frame is composited from known layers, so its disparity, the soft matte of each object, its bokeh, its forward and backward optical flow and its occlusion matc
- 26 Oct 2026 Topics added video, optical-flow
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