4 citations · 7 across the 6 of their papers we have counts for
4 papers · 1 filter
Motion Style Slider: Endpoint-Supervised Continuous Style Control for Human Motion Diffusion
Chen-Chieh Liao, Yichen Peng, Yiyi Cai +5
Existing human motion diffusion methods provide strong motion generation quality, and recent style transfer models can inject target style cues, but fine-grained continuous control…
InterPet4D: A Multimodal 4D Human-Pet Interaction Dataset for Pet Motion Generation
Yichen Peng, Jyun-Ting Song, Chen-Chieh Liao +3
Human-pet interaction estimation and generation remain underexplored due to the absence of a high-quality large-scale dataset. We present InterPet4D, the first multimodal dataset c…
Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization
Makito Kobayashi, Chen-Chieh Liao, Keito Inoue +2
In this work, we proposed a new style-diverse dataset for the domain of motion style transfer. The motion dataset uses an industrial-standard human bone structure and thus is indus…
Make Your Brief Stroke Real and Stereoscopic: 3D-Aware Simplified Sketch to Portrait Generation
Yasheng Sun, Qianyi Wu, Hang Zhou +6
Creating the photo-realistic version of people sketched portraits is useful to various entertainment purposes. Existing studies only generate portraits in the 2D plane with fixed v…