VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads

Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger et al. (17 additional authors not shown)

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.