4 papers
FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers
Jonghyun Park, Jong Chul Ye
Deep generative models are powerful priors for imaging inverse problems, but training-free solvers for latent flow models face a practical finite-step trade-off. Optimization-heavy…
Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution
Bryan Sangwoo Kim, Jonghyun Park, Jong Chul Ye
Text-conditioned diffusion models have advanced image and video super-resolution by using prompts as semantic priors, and modern super-resolution pipelines typically rely on latent…
CXR-LT 2026 Challenge: Projection-Aware Multi-Label and Zero-Shot Chest X-Ray Classification
Juno Cho, Dohui Kim, Mingeon Kim +3
This challenge tackles multi-label classification for known chest X-ray (CXR) lesions and zero-shot classification for unseen ones. To handle diverse CXR projections, we integrate…
DMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement
Youngmin Kim, Jaeyun Shin, Jeongchan Kim +5
Ultra Low Field (64 mT) brain MRI improves accessibility but suffers from reduced image quality compared to 3 T. As paired 64 mT - 3 T scans are scarce, we propose an unpaired 64 m…