mlsanityData to 7 Oct 2026

Hierarchical Semantic Perceptual Listener Head Video Generation: A High-performance Pipeline

arXiv 2307.09821 ↗First posted 19 Jul 2023cs.CV cs.MMcited by 4

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Abstract (arXiv)

In dyadic speaker-listener interactions, the listener's head reactions along with the speaker's head movements, constitute an important non-verbal semantic expression together. The listener Head generation task aims to synthesize responsive listener's head videos based on audios of the speaker and reference images of the listener. Compared to the Talking-head generation, it is more challenging to capture the correlation clues from the speaker's audio and visual information. Following the ViCo baseline scheme, we propose a high-performance solution by enhancing the hierarchical semantic extraction capability of the audio encoder module and improving the decoder part, renderer and post-processing modules. Our solution gets the first place on the official leaderboard for the track of listening head generation. This paper is a technical report of ViCo@2023 Conversational Head Generation Challenge in ACM Multimedia 2023 conference.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 14 of its 26 references that are in the map. First posted on arXiv 19 Jul 2023.

Builds on

14 of 26 references.

References · 14

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  2. 2017Squeeze-and-Excitation Networkscited by 4,763
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  4. 2020Towards Fast, Accurate and Stable 3D Dense Face Alignmentcited by 219
  5. 2021PIRenderer: Controllable Portrait Image Generation via Semantic Neural Renderingcited by 202
  6. 2019Learning Individual Styles of Conversational Gesturecited by 190
  7. 2022Recurrent Video Restoration Transformer with Guided Deformable Attentioncited by 168
  8. 2022Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motioncited by 125
  9. 2020In defence of metric learning for speaker recognitioncited by 123
  10. 2022Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generationcited by 106
  11. 2020Deep Audio-Visual Learning: A Surveycited by 68
  12. 2021Responsive Listening Head Generation: A Benchmark Dataset and Baselinecited by 67
2 more
  1. 2023Interactive Conversational Head Generationcited by 14
  2. 2021Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identificationcited by 4

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4 papers.