3 papers
cs.LG2026
Multi-Fidelity Flow Matching: Cascaded Refinement of PDE Solutions
Sipeng Chen, Junliang Liu, Hewei Tang +1
The source distribution in conditional flow matching is a design parameter that can be calibrated to data, not a default isotropic prior. We exploit this in Multi-Fidelity Flow Mat…
cs.CV2025
UStyle: Waterbody Style Transfer of Underwater Scenes by Depth-Guided Feature Synthesis
Md Abu Bakr Siddique, Vaishnav Ramesh, Junliang Liu +2
The concept of waterbody style transfer remains largely unexplored in the underwater imaging and vision literature. Traditional image style transfer (STx) methods primarily focus o…
cs.CV2025
DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment
Vaishnav Ramesh, Junliang Liu, Haining Wang +1
A long-held challenge in no-reference image quality assessment (NR-IQA) learning from human subjective perception is the lack of objective generalization to unseen natural distorti…