Adaptive Interpolation-Synthesis for Motion In-Betweening on Keyframe-Based Animation
Motion in-betweening is one of the most artistically demanding and time consuming stages of 3D animation, where the expressivity and rhythm of motion are defined. The level of creative control it requires makes it a major production bottleneck, underscoring the need for intelligent tools that assist animators in this process. Although recent deep learning approaches have achieved strong results in motion synthesis and in-betweening, they assume data characteristics, motion styles, and problem formulations that diverge from professional animation workflows. To bridge this gap, we propose a method explicitly aligned with the constraints of motion in-betweening for keyframe-based animation i...
| Authors | Anton Raël, Julien Boucher, Antoine Lhermitte |
|---|---|
| Primary category | cs.GR |
| Published | 4 May 2026 |
| Last updated at source | 4 May 2026 |
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