2 papers
cs.CV2026
Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation
Johannes Schusterbauer, Ming Gui, Yusong Li +3
Diffusion- and flow-based models usually allocate compute uniformly across space, updating all patches with the same timestep and number of function evaluations. While convenient,…
eess.IV2024
Optimizing Medical Image Segmentation with Advanced Decoder Design
Weibin Yang, Zhiqi Dong, Mingyuan Xu +4
U-Net is widely used in medical image segmentation due to its simple and flexible architecture design. To address the challenges of scale and complexity in medical tasks, several v…