Joint self-supervised and reference-guided learning for depth inpainting

Depth information can benefit various computer vision tasks on both images and videos. However, depth maps may suffer from invalid values in many pixels, and also large holes. To improve such data, we propose a joint self-supervised and reference-guided learning approach for depth inpainting. For th...

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Vydané v:	Computational visual media (Beijing) Ročník 8; číslo 4; s. 597 - 612
Hlavní autori:	Wu, Heng, Fu, Kui, Zhao, Yifan, Song, Haokun, Li, Jia
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Beijing Tsinghua University Press 01.12.2022 Springer Nature B.V
Predmet:	Artificial Intelligence Coding Color imagery Computer Graphics Computer Science Computer vision Dictionaries Image Processing and Computer Vision Modules Pixels Regularization Research Article Supervised learning User Interfaces and Human Computer Interaction self-supervised learning reference-guided learning depth inpainting
ISSN:	2096-0433, 2096-0662
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