8 papers
MeshFlow: Mesh Generation with Equivariant Flow Matching
Qi Sun, Kiyohiro Nakayama, Jing Nathan Yan +6
Meshes are among the most common 3D scene representations, but directly generating meshes is challenging because the representation contains important symmetries, including permuta…
Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing
Kiyohiro Nakayama, I-Chao Shen, Ruofan Liu +3
Practical garment design spans two modes: intuitive creation from high-level intent, such as a reference image or text description, and complex low-level editing across 2D sewing p…
Image2Garment: Simulation-ready Garment Generation from a Single Image
Selim Emir Can, Jan Ackermann, Kiyohiro Nakayama +7
Estimating physically accurate, simulation-ready garments from a single image is challenging due to the absence of image-to-physics datasets and the ill-posed nature of this proble…
Towards Vision-Language-Garment Models for Web Knowledge Garment Understanding and Generation
Jan Ackermann, Kiyohiro Nakayama, Guandao Yang +2
Multimodal foundation models have demonstrated strong generalization, yet their ability to transfer knowledge to specialized domains such as garment generation remains underexplore…
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…
RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs
Meng-Hao Guo, Xuanyu Chu, Qianrui Yang +12
The rapid advancement of native multi-modal models and omni-models, exemplified by GPT-4o, Gemini, and o3, with their capability to process and generate content across modalities s…