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Information × Registration Number 2121U003113, Article popup.category Препринт Title popup.author Lazorenko Anastasiia popup.publication 01-01-2021 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/2854 popup.publisher Description Navigational applications often suffer from restricted and granular movement possibilities caused by a limited capture of real-world locations. Even the largest collections of street photos like Street-View, Mapillary [31], and SPED win more in geographical coverage than in qualitative capture of specific scenes. A possible solution to this problem could be post-processing of available image collections and generation of new photos that would restore the missing parts. This is the task of novel view synthesis - a known area in computer graphics and vision, that has shown impressive results over last several years [26], [27], [33], etc. However, the problem of real-world outdoor scene reconstruction is the most challenging, and is still a subject to active research. In this work we will explore different approaches to novel view synthesis and evaluate some of them on the sparse real-world imagery from Street-View dataset. popup.nrat_date 2025-05-09 Close