VSCHH 2023: a benchmark for the view synthesis challenge of human heads
Author(s)
Type
Conference Paper
Abstract
This manuscript presents the results of the "A View Synthesis Challenge for Humans Heads (VSCHH)", which was part of the ICCV 2023 workshops. This paper describes the competition setup and provides details on replicating our initial baseline, TensoRF. Additionally, we provide a summary of the participants’ methods and their results in our benchmark table. The challenge aimed to synthesize novel camera views of human heads using a given set of sparse training view images. The proposed solutions of the participants were evaluated and ranked based on objective fidelity metrics, such as PSNR and SSIM, computed against unseen validation and test sets. In the supplementary material, we detailed the methods used by all participants in the VSCHH challenge, which opened on May 15th, 2023, and concluded on July 24th, 2023.
Date Issued
2023-12-25
Date Acceptance
2023-10-02
Citation
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023, pp.1113-1120
ISSN
2473-9936
Publisher
IEEE Computer Society
Start Page
1113
End Page
1120
Journal / Book Title
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Copyright Statement
© 2023 IEEE. This ICCV workshop paper is the Open Access version, provided by the Computer Vision Foundation. Except for this watermark, it is identical to the accepted version; the final published version of the proceedings is available on IEEE Xplore.
Source
IEEE/CVF International Conference on Computer Vision (ICCV)
Subjects
Computer Science
Computer Science, Artificial Intelligence
Computer Science, Theory & Methods
Imaging Science & Photographic Technology
Science & Technology
Technology
Publication Status
Published
Start Date
2023-10-02
Finish Date
2023-10-06
Coverage Spatial
Paris, France
