Downloads provided by UsageCounts
This zip archive contains user-study response data and associated analyses and analysis results from the GENEA Challenge 2022 (https://youngwoo-yoon.github.io/GENEAchallenge2022/). The code was written by Gustav Eje Henter and is released under a Creative Commons Attribution 4.0 International license. If you use this material, please cite the following paper: Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Carla Viegas, Teodor Nikolov, Mihail Tsakov, and Gustav Eje Henter. 2022. The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI '22). ACM
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 43 | |
| downloads | 16 |

Views provided by UsageCounts
Downloads provided by UsageCounts