Long‐term Motion In‐betweening via Keyframe Prediction
Seokhyeon Hong,
Haemin Kim,
Kyungmin Cho
et al.
Abstract:Motion in‐betweening has emerged as a promising approach to enhance the efficiency of motion creation due to its flexibility and time performance. However, previous in‐betweening methods are limited to generating short transitions due to growing pose ambiguity when the number of missing frames increases. This length‐related constraint makes the optimization hard and it further causes another constraint on the target pose, limiting the degrees of freedom for artists to use. In this paper, we introduce a keyfram… Show more
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