Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2526-2531

Multi-object scenes novel view synthesis via layout projection

Gao Xiaotian1a,1b
Zhang Qian2
Lyu Fan2
Hu Fuyuan1a,1c
1. a. College of Electronic & Information Engineering, b. Suzhou Key Laboratory for Big Data & Information Service, c. Virtual Reality Key Laboratory of Intelligent Interaction & Application Technology of Suzhou, Suzhou University of Science & Technology, Suzhou Jiangsu 215009, China
2. College of Intelligence & Computing, Tianjin University, Tianjin 300354, China
DOI: 10.19734/j.issn.1001-3695.2022.01.0032

Abstract

The task of novel view synthesis refers to generating a new perspective image of the scene through multiple reference images. However, there are occlusions between objects in multi-object scenes, and object information cannot be fully obtained, resulting in artifacts and dislocation problems in the generated new-view scene images. In order to solve this problem, this paper proposed a new perspective image generation network guided by the scene layout map, and annotated a new MONVS. Firstly, it input multiple layout information of the scene and the corresponding camera pose information into the layout prediction module, and calculated the layout information of the scene under a new perspective. Then, it used the bounding box information of the objects marked in the scene to construct an object set of different objects, and used the pixel prediction module to generate the information of each object in the new perspective scene. Finally, it input the obtained new perspective layout and various object information into the scene generator to construct a scene image under the new perspective. Compared with the latest methods on the MONVS and ShapeNet cars data sets, experimental data and visualization results show that in the new perspective image generation of multi-object scenes, the proposed method has good performance on both data sets. It effectively solved the problem of artifacts in the generated image and inaccurate position information of multiple objects in the scene.

Foundation Support

国家自然科学基金资助项目(61876121)
江苏省重点研发计划项目(BE2017663)
江苏省教育厅高等学校自然科学研究面上项目(19KJB520054)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0032
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Technology of Graphic & Image
Pages: 2526-2531
Serial Number: 1001-3695(2022)08-050-2526-06

Publish History

[2022-03-30] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

高小天, 张乾, 吕凡, 等. 基于布局图的多物体场景新视角图像生成网络 [J]. 计算机应用研究, 2022, 39 (8): 2526-2531. (Gao Xiaotian, Zhang Qian, Lyu Fan, et al. Multi-object scenes novel view synthesis via layout projection [J]. Application Research of Computers, 2022, 39 (8): 2526-2531. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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