5 papers
To See a World in a Living Context: Unified Indoor-Outdoor Urban World Generation
Xiaobin Huang, Zilong Huang, Yang Luo +3
Text-driven 3D generation has advanced rapidly in creating large-scale outdoor environments and detailed indoor scenes, but these domains are usually synthesized independently, lac…
Spatially-Weighted CLIP for Street-View Geo-localization
Ting Han, Fengjiao Li, Chunsong Chen +3
This paper proposes Spatially-Weighted CLIP (SW-CLIP), a novel framework for street-view geo-localization that explicitly incorporates spatial autocorrelation into vision-language…
OP-GRPO: Efficient Off-Policy GRPO for Flow-Matching Models
Liyu Zhang, Kehan Li, Tingrui Han +4
Post training via GRPO has demonstrated remarkable effectiveness in improving the generation quality of flow-matching models. However, GRPO suffers from inherently low sample effic…
MajutsuCity: Language-driven Aesthetic-adaptive City Generation with Controllable 3D Assets and Layouts
Zilong Huang, Jun He, Xiaobin Huang +6
Generating realistic 3D cities is fundamental to world models, virtual reality, and game development, where an ideal urban scene must satisfy both stylistic diversity, fine-grained…
Scene4U: Hierarchical Layered 3D Scene Reconstruction from Single Panoramic Image for Your Immerse Exploration
Zilong Huang, Jun He, Junyan Ye +4
The reconstruction of immersive and realistic 3D scenes holds significant practical importance in various fields of computer vision and computer graphics. Typically, immersive and…