activity
20222026
most citedEvaluating gesture generation in a large-scale open challenge: The GENEA Challenge 2022

26 citations · 28 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

The GENEA Challenge 2026: A Large-Scale Disentangled Evaluation of Speech-Driven Gesture Generation on the Seamless Interaction Dataset

Rajmund Nagy, Silvia Arellano García, Hendric Voss +4

This preprint presents the results of the fourth GENEA Challenge, a large-scale human evaluation of five speech-driven gesture-generation systems trained by participating teams on…

cs.CV2025

Towards Reliable Human Evaluations in Gesture Generation: Insights from a Community-Driven State-of-the-Art Benchmark

Rajmund Nagy, Hendric Voss, Thanh Hoang-Minh +18

We review human evaluation practices in automatic, speech-driven 3D gesture generation and find a lack of standardisation and frequent use of flawed experimental setups. This leads…

cs.HC2024★ 2 cited

Towards a GENEA Leaderboard -- an Extended, Living Benchmark for Evaluating and Advancing Conversational Motion Synthesis

Rajmund Nagy, Hendric Voss, Youngwoo Yoon +7

Current evaluation practices in speech-driven gesture generation lack standardisation and focus on aspects that are easy to measure over aspects that actually matter. This leads to…

cs.CL2024

A Spatio-Temporal Representation Learning as an Alternative to Traditional Glosses in Sign Language Translation and Production

Eui Jun Hwang, Sukmin Cho, Huije Lee +2

This work addresses the challenges associated with the use of glosses in both Sign Language Translation (SLT) and Sign Language Production (SLP). While glosses have long been used…

cs.HC2023

The GENEA Challenge 2023: A large scale evaluation of gesture generation models in monadic and dyadic settings

Taras Kucherenko, Rajmund Nagy, Youngwoo Yoon +4

This paper reports on the GENEA Challenge 2023, in which participating teams built speech-driven gesture-generation systems using the same speech and motion dataset, followed by a…

cs.CV2023

Co-Speech Gesture Synthesis using Discrete Gesture Token Learning

Shuhong Lu, Youngwoo Yoon, Andrew Feng

Synthesizing realistic co-speech gestures is an important and yet unsolved problem for creating believable motions that can drive a humanoid robot to interact and communicate with…

cs.HC2023★ 26 cited

Evaluating gesture generation in a large-scale open challenge: The GENEA Challenge 2022

Taras Kucherenko, Pieter Wolfert, Youngwoo Yoon +4

This paper reports on the second GENEA Challenge to benchmark data-driven automatic co-speech gesture generation. Participating teams used the same speech and motion dataset to bui…

cs.CV2022

Evaluating the Quality of a Synthesized Motion with the Fréchet Motion Distance

Antoine Maiorca, Youngwoo Yoon, Thierry Dutoit

Evaluating the Quality of a Synthesized Motion with the Fréchet Motion Distance