Depth-Aware Neural Style Transfer for Videos
Temporal consistency and content preservation are the prominent challenges in artistic video style transfer. To address these challenges, we present a technique that utilizes depth data and we demonstrate this on real-world videos from the web, as well as on a standard video dataset of three-dimensi...
Kaydedildi:
| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2023-03-01
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| Seri Bilgileri: | Computers |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/2073-431X/12/4/69 |
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