5 papers · 1 filter
AnchorGen: Anchored Optimization for Customizable Generative 3D Design
Hantao Zhang, Oliver Heinimann, Jieke Wu +3
Engineering design often starts from a 2D sketch that fixes style and proportions, yet the subsequent 3D shape optimization relies on learned generative priors to keep the geometry…
Flow-Corrected Shape Optimization: Taming Manifold Drift in High-Dimensional 3D Models
Emilien Seiler, Nicolas Talabot, Yingxuan You +2
Optimizing 3D shapes within the latent spaces of deep generative models is fundamental to computer assisted engineering, yet remains prone to a critical failure mode we term manifo…
Global Graph-Validated Optimization for VLM-based 3D Indoor Scene Generation
Jialu Huang, Yingxuan You, Fei Wang +1
We study open-vocabulary 3D indoor layout generation, which synthesizes diverse and physically plausible scenes from unlabeled 3D assets using free-form language instructions. Rece…
Spatio-Temporal Garment Reconstruction Using Diffusion Mapping via Pattern Coordinates
Yingxuan You, Ren Li, Corentin Dumery +3
Reconstructing 3D clothed humans from monocular images and videos is a fundamental problem with applications in virtual try-on, avatar creation, and mixed reality. Despite signific…
PhysGen: Physically Grounded 3D Shape Generation for Industrial Design
Yingxuan You, Chen Zhao, Hantao Zhang +2
Existing generative models for 3D shapes can synthesize high-fidelity and visually plausible shapes. For certain classes of shapes that have undergone an engineering design process…