3 papers
cs.CV2026
ARAPDiffusion: ARAP Regularization for Diffusion-Based Deformable Shape Space Learning
Haibo Liu, Jinghan Ke, Haitao Yang +3
This paper introduces ARAPDiffusion, a latent diffusion model to learn the underlying continuous shape space of a deformation shape collection. The key innovation is in injecting t…
cs.CY2025
Can Large Language Models Become Policy Refinement Partners? Evidence from China's Social Security Studies
Jinghan Ke, Zheng Zhou, Yuxuan Zhao
The rapid development of large language models (LLMs) is reshaping operational paradigms across multidisciplinary domains. LLMs' emergent capability to synthesize policy-relevant i…
cs.CV2024
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
Chengkai Hou, Zhengrong Xue, Bingyang Zhou +3
Detecting 3D keypoints with semantic consistency is widely used in many scenarios such as pose estimation, shape registration and robotics. Currently, most unsupervised 3D keypoint…