mlsanityData to 7 Oct 2026

Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer

arXiv 2206.12837 ↗First posted 26 Jun 2022cs.CVcited by 11

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Abstract (arXiv)

This paper reports our solution for ACM Multimedia ViCo 2022 Conversational Head Generation Challenge, which aims to generate vivid face-to-face conversation videos based on audio and reference images. Our solution focuses on training a generalized audio-to-head driver using regularization and assembling a high-visual quality renderer. We carefully tweak the audio-to-behavior model and post-process the generated video using our foreground-background fusion module. We get first place in the listening head generation track and second place in the talking head generation track on the official leaderboard. Our code is available at https://github.com/megvii-research/MM2022-ViCoPerceptualHeadGeneration.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 22 of its 34 references that are in the map. First posted on arXiv 26 Jun 2022.

Builds on

22 of 34 references.

References · 22

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10 more
  1. 2020StyleRig: Rigging StyleGAN for 3D Control over Portrait Imagescited by 267
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 3; 2025: 4; 2026: 2.

11 papers.