5 papers
U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration
Xiaofan Li, Zhihao Xu, Chenming Wu +11
Accurate localization using visual information is a critical yet challenging task, especially in urban environments where nearby buildings and construction sites significantly degr…
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment
Xiaofan Li, Chenming Wu, Zhao Yang +5
This paper presents DriVerse, a generative model for simulating navigation-driven driving scenes from a single image and a future trajectory. Previous autonomous driving world mode…
From Prompts to Printable Models: Support-Effective 3D Generation via Offset Direct Preference Optimization
Chenming Wu, Xiaofan Li, Chengkai Dai
Current text-to-3D models prioritize visual fidelity but often neglect physical fabricability, resulting in geometries requiring excessive support structures. This paper introduces…
FVAR: Visual Autoregressive Modeling via Next Focus Prediction
Xiaofan Li, Chenming Wu, Yanpeng Sun +6
Visual autoregressive models achieve remarkable generation quality through next-scale predictions across multi-scale token pyramids. However, the conventional method uses uniform s…
Video4Edit: Viewing Image Editing as a Degenerate Temporal Process
Xiaofan Li, Yanpeng Sun, Chenming Wu +5
We observe that recent advances in multimodal foundation models have propelled instruction-driven image generation and editing into a genuinely cross-modal, cooperative regime. Nev…