3 papers
cs.GR2026
Tiny is not small enough: High-quality, low-resource facial animation models through hybrid knowledge distillation
Zhen Han, Mattias Teye, Derek Yadgaroff +1
The training of high-quality, robust machine learning models for speech-driven 3D facial animation requires a large, diverse dataset of high-quality audio-animation pairs. To overc…
cs.CV2025
Evaluating the Evaluators: Towards Human-aligned Metrics for Missing Markers Reconstruction
Taras Kucherenko, Derek Peristy, Judith Bütepage
Animation data is often obtained through optical motion capture systems, which utilize a multitude of cameras to establish the position of optical markers. However, system errors o…
cs.GR2025
SILK: Smooth InterpoLation frameworK for motion in-betweening A Simplified Computational Approach
Elly Akhoundi, Hung Yu Ling, Anup Anand Deshmukh +1
Motion in-betweening is a crucial tool for animators, enabling intricate control over pose-level details in each keyframe. Recent machine learning solutions for motion in-betweenin…