mlsanityData to 14 Oct 2026

REACT 2025: the Third Multiple Appropriate Facial Reaction Generation Challenge

arXiv 2505.17223 ↗First posted 22 May 2025cs.CVcited by 9

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Abstract (arXiv)

In dyadic interactions, a broad spectrum of human facial reactions might be appropriate for responding to each human speaker behaviour. Following the successful organisation of the REACT 2023 and REACT 2024 challenges, we are proposing the REACT 2025 challenge encouraging the development and benchmarking of Machine Learning (ML) models that can be used to generate multiple appropriate, diverse, realistic and synchronised human-style facial reactions expressed by human listeners in response to an input stimulus (i.e., audio-visual behaviours expressed by their corresponding speakers). As a key of the challenge, we provide challenge participants with the first natural and large-scale multi-modal MAFRG dataset (called MARS) recording 137 human-human dyadic interactions containing a total of 2856 interaction sessions covering five different topics. In addition, this paper also presents the challenge guidelines and the performance of our baselines on the two proposed sub-challenges: Offline MAFRG and Online MAFRG, respectively. The challenge baseline code is publicly available at https://github.com/reactmultimodalchallenge/baseline_react2025

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 19 of its 45 references that are in the map. First posted on arXiv 22 May 2025.

Builds on

19 of 45 references.

References · 19

  1. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
  2. 2022TEACH: Temporal Action Composition for 3D Humanscited by 176
  3. 2022Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motioncited by 126
  4. 2022FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Datasetcited by 98
  5. 2021FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learningcited by 90
  6. 2022Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognitioncited by 82
  7. 2021Responsive Listening Head Generation: A Benchmark Dataset and Baselinecited by 67
  8. 2024Dyadic Interaction Modeling for Social Behavior Generationcited by 32
  9. 2020Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Datasetcited by 31
  10. 2023ReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactionscited by 17
  11. 2023Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?cited by 16
  12. 2024REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challengecited by 16
7 more
  1. 2018Interactive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactionscited by 15
  2. 2024Beyond Talking -- Generating Holistic 3D Human Dyadic Motion for Communicationcited by 14
  3. 2022GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Featurescited by 12
  4. 2023Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generationcited by 11
  5. 2024DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesiscited by 7
  6. 2024Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensationcited by 4
  7. 2025Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Settingcited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 8.

9 papers.