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논문
구성원
article|
인용수 5
·2019
Synthesizing Character Animation with Smoothly Decomposed Motion Layers
Haegwang Eom, Byungkuk Choi, Kyungmin Cho, Sunjin Jung, Seok‐Pyo Hong, Junyong Noh
IF 2.116Computer Graphics Forum
초록

Abstract The processing of captured motion is an essential task for undertaking the synthesis of high‐quality character animation. The motion decomposition techniques investigated in prior work extract meaningful motion primitives that help to facilitate this process. Carefully selected motion primitives can play a major role in various motion‐synthesis tasks, such as interpolation, blending, warping, editing or the generation of new motions. Unfortunately, for a complex character motion, finding generic motion primitives by decomposition is an intractable problem due to the compound nature of the behaviours of such characters. Additionally, decomposed motion primitives tend to be too limited for the chosen model to cover a broad range of motion‐synthesis tasks. To address these challenges, we propose a generative motion decomposition framework in which the decomposed motion primitives are applicable to a wide range of motion‐synthesis tasks. Technically, the input motion is smoothly decomposed into three motion layers. These are base‐level motion, a layer with controllable motion displacements and a layer with high‐frequency residuals. The final motion can easily be synthesized simply by changing a single user parameter that is linked to the layer of controllable motion displacements or by imposing suitable temporal correspondences to the decomposition framework. Our experiments show that this decomposition provides a great deal of flexibility in several motion synthesis scenarios: denoising, style modulation, upsampling and time warping.

키워드
Computer scienceAnimationMotion (physics)UpsamplingMotion interpolationComputer visionImage warpingArtificial intelligenceMotion estimationDecomposition
타입
article
IF / 인용수
2.116 / 5
게재 연도
2019

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