5 papers
Refinement Module based on Parse Graph for Human Pose Estimation
Shibang Liu, Xuemei Xie
Parse graphs have been widely used in Human Pose Estimation (HPE) to model the hierarchical structure and context relations of the human body. However, such methods often suffer fr…
KB-DMGen: Knowledge-Based Global Guidance and Dynamic Pose Masking for Human Image Generation
Shibang Liu, Xuemei Xie, Guangming Shi
Recent methods using diffusion models have made significant progress in Human Image Generation (HIG) with various control signals such as pose priors. In HIG, both accurate human p…
Parse Graph-Based Visual-Language Interaction for Human Pose Estimation
Shibang Liu, Xuemei Xie, Guangming Shi
Parse graphs boost human pose estimation (HPE) by integrating context and hierarchies, yet prior work mostly focuses on single modality modeling, ignoring the potential of multimod…
Learning Pyramid-structured Long-range Dependencies for 3D Human Pose Estimation
Mingjie Wei, Xuemei Xie, Yutong Zhong +1
Action coordination in human structure is indispensable for the spatial constraints of 2D joints to recover 3D pose. Usually, action coordination is represented as a long-range dep…
ACMo: Attribute Controllable Motion Generation
Mingjie Wei, Xuemei Xie, Guangming Shi
Attributes such as style, fine-grained text, and trajectory are specific conditions for describing motion. However, existing methods often lack precise user control over motion att…