4 papers
Unravel: Recovering an Interactive 3D Scene from a Single Image
Hui Shan, Keyang Luo, Binjia Zhou +10
We present Unravel, a training-free framework that turns a single image into an interactive 3D scene, where every object is an independent and movable asset. Existing generators ei…
ReWeaver: Towards Simulation-Ready and Topology-Accurate Garment Reconstruction
Ming Li, Hui Shan, Kai Zheng +5
High-quality 3D garment reconstruction plays a crucial role in mitigating the sim-to-real gap in applications such as digital avatars, virtual try-on and robotic manipulation. Howe…
NI-Tex: Non-isometric Image-based Garment Texture Generation
Hui Shan, Ming Li, Haitao Yang +4
Existing industrial 3D garment meshes already cover most real-world clothing geometries, yet their texture diversity remains limited. To acquire more realistic textures, generative…
XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding
Dian Chen, Yansong Qu, Xinyang Li +2
Current auto-regressive models can generate high-quality, topologically precise meshes; however, they necessitate thousands-or even tens of thousands-of next-token predictions duri…