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

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, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn,Ales Leonardis,Stefanos Zafeiriou

2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW(2023)

引用 0|浏览2
暂无评分
摘要
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.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要