Youngkyoon Jang Jiali Zheng Jifei Song Helisa Dhamo Eduardo Perez-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 Heng Yu Aarush Gupta Joel Julin Laszlo A. Jeni Hyeseong Kim Jungbin Cho Dosik Hwang Lee, Deuk hee Doyeon Kim Dongseong Seo SeungJin Jeon YoungDon Choi 강준석 Seker, Ahmet Cagatay Ahn, Sang Chul Ales Leonardis Stefanos Zafeiriou 2024-01-12T02:44:52Z 2024-01-12T02:44:52Z 2023-11-26 2023-10-02 https://pubs.kist.re.kr/handle/201004/76370 https://openaccess.thecvf.com/ICCV2023_workshops/RHWC 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. Computer Vision Foundation(CVF), IEEE VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads Conference 1 ICCV2023 workshop, A View Synthesis Challenge for Human Heads(VSCHH) ICCV2023 workshop, A View Synthesis Challenge for Human Heads(VSCHH) FR 2023-10-02 Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops