mlsanityData to 7 Oct 2026

MRecGen: Multimodal Appropriate Reaction Generator

arXiv 2307.02609 ↗First posted 5 Jul 2023cs.CVcited by 2

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Abstract (arXiv)

Verbal and non-verbal human reaction generation is a challenging task, as different reactions could be appropriate for responding to the same behaviour. This paper proposes the first multiple and multimodal (verbal and nonverbal) appropriate human reaction generation framework that can generate appropriate and realistic human-style reactions (displayed in the form of synchronised text, audio and video streams) in response to an input user behaviour. This novel technique can be applied to various human-computer interaction scenarios by generating appropriate virtual agent/robot behaviours. Our demo is available at urlhttps://github.com/SSYSteve/MRecGen.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 13 of its 23 references that are in the map. First posted on arXiv 5 Jul 2023.

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13 of 23 references.

References · 13

  1. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
  2. 2022Scaling Instruction-Finetuned Language Modelscited by 2,997
  3. 2023Pythia: A Suite for Analyzing Large Language Models Across Training and Scalingcited by 1,734
  4. 2022Galactica: A Large Language Model for Sciencecited by 736
  5. 2019Multimodal Transformer for Unaligned Multimodal Language Sequencescited by 637
  6. 2022SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animationcited by 380
  7. 2022Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motioncited by 125
  8. 2020Gesticulator: A framework for semantically-aware speech-driven gesture generationcited by 84
  9. 2022BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Predictioncited by 82
  10. 2020Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settingscited by 36
  11. 2023Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?cited by 16
  12. 2023Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generationcited by 11
1 more
  1. 2023REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challengecited by 5

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Citing papers per year: 2024: 1; 2025: 1.

2 papers.