SCENIC: Scene-aware Semantic Navigation with Instruction-guided Control
Synthesizing natural human motion that adapts to complex environments while allowing
creative control remains a fundamental challenge in motion synthesis. Existing models often …
creative control remains a fundamental challenge in motion synthesis. Existing models often …
ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model
The scaling law has been validated in various domains, such as natural language
processing (NLP) and massive computer vision tasks; however, its application to motion …
processing (NLP) and massive computer vision tasks; however, its application to motion …
MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning
Modeling temporal characteristics and the non-stationary dynamics of body movement plays
a significant role in predicting human future motions. However, it is challenging to capture …
a significant role in predicting human future motions. However, it is challenging to capture …
MulSMo: Multimodal Stylized Motion Generation by Bidirectional Control Flow
Generating motion sequences conforming to a target style while adhering to the given
content prompts requires accommodating both the content and style. In existing methods …
content prompts requires accommodating both the content and style. In existing methods …
MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model
L Jiang, Y Wei, H Ni - arxiv preprint arxiv:2501.19083, 2025 - arxiv.org
Diffusion models have become a popular choice for human motion synthesis due to their
powerful generative capabilities. However, their high computational complexity and large …
powerful generative capabilities. However, their high computational complexity and large …