mlsanityData to 14 Oct 2026

Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars

arXiv 2503.11978 ↗First posted 15 Mar 2025cs.GR cs.CVcited by 2

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Abstract (arXiv)

Despite the increasing popularity of avatar systems such as Snapchat Bitmojis, existing production avatar platforms face several limitations, such as a limited number of predefined assets, tedious customization processes, and inefficient rendering requirements. Addressing these shortcomings, we introduce Snapmoji, an avatar generation system that instantly creates 3D avatars, and enables customization in a process we call dual-stylization. Snapmoji first maps a selfie of a user to a primary avatar (e.g., Bitmoji style) using a new technique we name Gaussian Domain Adaptation (GDA), then applies a secondary style (e.g., skeleton, yarn, toy) to the primary avatar, all while preserving the user's identity. The generated 3D avatars can then be rendered an animated on mobile devices at 30-40 FPS.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 53 of its 69 references that are in the map. First posted on arXiv 15 Mar 2025.

Builds on

53 of 69 references.

References · 53

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38 more
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Cited by year (2026 to 14 Oct)

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

2 papers.

  1. 2025Large Sign Language Models: Toward 3D American Sign Language Translationcited by 1
  2. 2026RegHead: Non-Humanoid Head Blendshapes via Feed-Forward Registrationcited by 0