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PVSDNet: Joint Depth Prediction and View Synthesis Via Shared Latent Spaces in Real-Time

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
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discipline_display Engineering & Technology
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journal_source_facet IEEE Access
publishDate 2026
publishDateSort 2026
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spellingShingle PVSDNet: Joint Depth Prediction and View Synthesis Via Shared Latent Spaces in Real-Time
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title PVSDNet: Joint Depth Prediction and View Synthesis Via Shared Latent Spaces in Real-Time
title_auth PVSDNet: Joint Depth Prediction and View Synthesis Via Shared Latent Spaces in Real-Time
title_full PVSDNet: Joint Depth Prediction and View Synthesis Via Shared Latent Spaces in Real-Time
title_fullStr PVSDNet: Joint Depth Prediction and View Synthesis Via Shared Latent Spaces in Real-Time
title_full_unstemmed PVSDNet: Joint Depth Prediction and View Synthesis Via Shared Latent Spaces in Real-Time
title_short PVSDNet: Joint Depth Prediction and View Synthesis Via Shared Latent Spaces in Real-Time
title_sort pvsdnet: joint depth prediction and view synthesis via shared latent spaces in real-time
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11348070