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[bibtex]@InProceedings{Jang_2023_ICCV, author = {Jang, Youngkyoon and Zheng, Jiali and Song, Jifei and Dhamo, Helisa and P\'erez-Pellitero, Eduardo and Tanay, Thomas and Maggioni, Matteo and Shaw, Richard and Catley-Chandar, Sibi and Zhou, Yiren and Deng, Jiankang and Zhu, Ruijie and Chang, Jiahao and Song, Ziyang and Yu, Jiahuan and Zhang, Tianzhu and Nguyen, Khanh-Binh and Yang, Joon-Sung and Dogaru, Andreea and Egger, Bernhard and Yu, Heng and Gupta, Aarush and Julin, Joel and Jeni, L\'aszl\'o A. and Kim, Hyeseong and Cho, Jungbin and Hwang, Dosik and Lee, Deukhee and Kim, Doyeon and Seo, Dongseong and Jeon, SeungJin and Choi, YoungDon and Kang, Jun Seok and Seker, Ahmet Cagatay and Ahn, Sang Chul and Leonardis, Ales and Zafeiriou, Stefanos}, title = {VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1121-1128} }
VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads
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.
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