May 14, 2024, 4:46 a.m. | Clinton Mo, Kun Hu, Chengjiang Long, Dong Yuan, Zhiyong Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.07444v1 Announce Type: new
Abstract: In the character animation field, modern supervised keyframe interpolation models have demonstrated exceptional performance in constructing natural human motions from sparse pose definitions. As supervised models, large motion datasets are necessary to facilitate the learning process; however, since motion is represented with fixed hierarchical skeletons, such datasets are incompatible for skeletons outside the datasets' native configurations. Consequently, the expected availability of a motion dataset for desired skeletons severely hinders the feasibility of learned interpolation in …

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