3 papers
cs.CV2026
Interact3D: Compositional 3D Generation of Interactive Objects
Hui Shan, Keyang Luo, Ming Li +4
Recent breakthroughs in 3D generation have enabled the synthesis of high-fidelity individual assets. However, generating 3D compositional objects from single images--particularly u…
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.GR2025
GenAnalysis: Joint Shape Analysis by Learning Man-Made Shape Generators with Deformation Regularizations
Yuezhi Yang, Haitao Yang, Kiyohiro Nakayama +3
We present GenAnalysis, an implicit shape generation framework that allows joint analysis of man-made shapes, including shape matching and joint shape segmentation. The key idea is…