title: Perceptually Accurate 3D Talking Head Generation: New Definitions,
    Speech-Mesh Representation, and Evaluation Metrics
summary: Recent advancements in speech-driven 3D talking head generation have made
  significant progress in lip synchronization. However, existing models still
  struggle to capture the perceptual alignment between varying speech
  characteristics and corresponding lip movements. In this work, we claim that
  three criteria -- Temporal Synchronization, Lip Readability, and Expressiveness
  -- are crucial for achieving perceptually accurate lip movements. Motivated by
  our hypothesis that a desirable representation space exists to meet these three
  criteria, we introduce a speech-mesh synchronized representation that captures
  intricate correspondences between speech signals and 3D face meshes. We found
  that our learned representation exhibits desirable characteristics, and we plug
  it into existing models as a perceptual loss to better align lip movements to
  the given speech. In addition, we utilize this representation as a perceptual
  metric and introduce two other physically grounded lip synchronization metrics
  to assess how well the generated 3D talking heads align with these three
  criteria. Experiments show that training 3D talking head generation models with
  our perceptual loss significantly improve all three aspects of perceptually
  accurate lip synchronization. Codes and datasets are available at
  https://perceptual-3d-talking-head.github.io/.
paper_authors._id: 67ea2b9a676ae1ad3402eede
paper_authors.name: Lee Chae-Yeon
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paper_authors.fullname: Lee Chae-Yeon
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paper_authors.user: Chae-Yeon
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paper_authors.name: Oh Hyun-Bin
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paper_authors.fullname: Hyun-Bin Oh
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paper_authors.user: HBoh
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paper_authors.name: Han EunGi
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paper_authors.fullname: Han EunGi
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paper_authors.name: Kim Sung-Bin
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paper_authors.fullname: KIM SUNGBIN
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paper_authors.name: Suekyeong Nam
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paper_authors.fullname: suekyeong nam
paper_authors.type: user
paper_authors.user: akasha9890
paper_authors._id: 67ea2b9a676ae1ad3402eee3
paper_authors.name: Tae-Hyun Oh
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paper_authors.fullname: Tae-Hyun Oh
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paper_authors.user: taehyunoh
paper_title: Perceptually Accurate 3D Talking Head Generation: New Definitions,
    Speech-Mesh Representation, and Evaluation Metrics
paper_summary: Recent advancements in speech-driven 3D talking head generation have made
  significant progress in lip synchronization. However, existing models still
  struggle to capture the perceptual alignment between varying speech
  characteristics and corresponding lip movements. In this work, we claim that
  three criteria -- Temporal Synchronization, Lip Readability, and Expressiveness
  -- are crucial for achieving perceptually accurate lip movements. Motivated by
  our hypothesis that a desirable representation space exists to meet these three
  criteria, we introduce a speech-mesh synchronized representation that captures
  intricate correspondences between speech signals and 3D face meshes. We found
  that our learned representation exhibits desirable characteristics, and we plug
  it into existing models as a perceptual loss to better align lip movements to
  the given speech. In addition, we utilize this representation as a perceptual
  metric and introduce two other physically grounded lip synchronization metrics
  to assess how well the generated 3D talking heads align with these three
  criteria. Experiments show that training 3D talking head generation models with
  our perceptual loss significantly improve all three aspects of perceptually
  accurate lip synchronization. Codes and datasets are available at
  https://perceptual-3d-talking-head.github.io/.
paper_ai_summary: Speech-mesh synchronized representation improves perceptually accurate lip synchronization in 3D talking head generation by addressing temporal synchronization, lip readability, and expressiveness.
paper_ai_keywords: speech-driven 3D talking head generation lip synchronization Temporal Synchronization Lip Readability Expressiveness speech-mesh synchronized representation perceptual loss physically grounded lip synchronization metrics