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A Large, Crowdsourced Evaluation of Gesture Generation Systems on Common Data: The GENEA Challenge 2020

  • Published:2021-04-13 Issue: Volume: Page:
  • ISSN:
  • Container-title:26th International Conference on Intelligent User Interfaces
  • language:
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Author:

Kucherenko Taras1,Jonell Patrik2,Yoon Youngwoo3,Wolfert Pieter4,Henter Gustav Eje2

Affiliation:

1. Robotics Perception and Learning KTH Royal Institute of Technology in Stockholm, Sweden

2. KTH Royal Institute of Technology in Stockholm, Sweden

3. Electronics and Telecommunications Research Institute, Korea

4. IDLab Ghent University - imec, Belgium

Funder

Flemish Research Foundation

Korean government (MSIT) IITP grant

Wallenberg AI, AutonomousSystems and Software Program (WASP)

Swedish Foundation for Strategic Research

Publisher

ACM

Cited by 58 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TAG2G: A Diffusion-Based Approach to Interlocutor-Aware Co-Speech Gesture Generation;Electronics;2024-08-24

2. Evaluating Gesture Generation in a Large-scale Open Challenge: The GENEA Challenge 2022;ACM Transactions on Graphics;2024-06-23

3. Unified Speech and Gesture Synthesis Using Flow Matching;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Exploring the Effectiveness of Evaluation Practices for Computer-Generated Nonverbal Behaviour;Applied Sciences;2024-02-10

5. Data-driven Communicative Behaviour Generation: A Survey;ACM Transactions on Human-Robot Interaction;2024-01-30
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