Depth-Assisted Full Resolution Network for Single Image-Based View Synthesis
Xiaodong Cun1; Feng Xu2; Chi-Man Pun1; Hao Gao3
Source PublicationIEEE Computer Graphics and Applications

Research works in novel viewpoint synthesis are based mainly on multiview input images. In this paper, we focus on a more challenging and ill-posed problem that is to synthesize surrounding novel viewpoints from a single image. To achieve this goal, we design a full resolution network to extract fine-scale image features, which contributes to prevent blurry artifacts. We also involve a pretrained relative depth estimation network, thus three-dimensional information is utilized to infer the flow field between the input and the target image. Since the depth network is trained by depth order between any pair of objects, large-scale image features are also involved in our system. Finally, a synthesis layer is used to not only warp the observed pixels to the desired positions but also hallucinate the missing pixels from other recorded pixels. Experiments show that our technique successfully synthesizes reasonable novel viewpoints surrounding the input, while other state-of-the-art techniques fail.

KeywordFeature Extraction Image Resolution Computer Graphics Image Reconstruction Special Issues And Sections
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering
WOS IDWOS:000462397900007
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Corresponding AuthorChi-Man Pun
Affiliation1.University of Macau
2.Nanjing University of Posts and Telecommunications
3.Tsinghua University
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Xiaodong Cun,Feng Xu,Chi-Man Pun,et al. Depth-Assisted Full Resolution Network for Single Image-Based View Synthesis[J]. IEEE Computer Graphics and Applications,2018,39(2):52-64.
APA Xiaodong Cun,Feng Xu,Chi-Man Pun,&Hao Gao.(2018).Depth-Assisted Full Resolution Network for Single Image-Based View Synthesis.IEEE Computer Graphics and Applications,39(2),52-64.
MLA Xiaodong Cun,et al."Depth-Assisted Full Resolution Network for Single Image-Based View Synthesis".IEEE Computer Graphics and Applications 39.2(2018):52-64.
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