Bertiche, H;
Mitra, NJ;
Kulkarni, K;
Huang, CHP;
Wang, TY;
Madadi, M;
Escalera, S;
(2023)
Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images.
In:
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
(pp. pp. 459-468).
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
Cinemagraphs are short looping videos created by adding subtle motions to a static image. This kind of media is popular and engaging. However, automatic generation of cinemagraphs is an underexplored area and current solutions require tedious low-level manual authoring by artists. In this paper, we present an automatic method that allows generating human cinemagraphs from single RGB images. We investigate the problem in the context of dressed humans under the wind. At the core of our method is a novel cyclic neural network that produces looping cinemagraphs for the target loop duration. To circumvent the problem of collecting real data, we demonstrate that it is possible, by working in the image normal space, to learn garment motion dynamics on synthetic data and generalize to real data. We evaluate our method on both synthetic and real data and demonstrate that it is possible to create compelling and plausible cinemagraphs from single RGB images.
| Type: | Proceedings paper |
|---|---|
| Title: | Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images |
| Event: | 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| Location: | Vancouver, BC, Canada |
| Dates: | 17th-24th Jun 2023 |
| ISBN-13: | 9798350301298 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/CVPR52729.2023.00052 |
| Publisher version: | https://doi.org/10.1109/CVPR52729.2023.00052 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10179945 |
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