2 papers
cs.CV2025
Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios
Dhruv Jain, Romain Modzelewski, Romain Herault +3
In data-scarce scenarios, deep learning models often overfit to noise and irrelevant patterns, which limits their ability to generalize to unseen samples. To address these challeng…
cs.CV2024
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning
Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard +3
Diffusion models have emerged as highly effective techniques for inpainting, however, they remain constrained by slow sampling rates. While recent advances have enhanced generation…