5 papers
UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation
Kyle Lucke, Zuzanna Krajewska-Travar, Shoukun Sun +3
Tristructural isotropic (TRISO)-coated particle fuels undergo dimensional changes and chemical reactions during high-temperature neutron irradiation. Post-irradiation materialograp…
InfScene-SR: Arbitrary-Size Image Super-Resolution via Iterative Joint-Denoising
Shoukun Sun, Zhe Wang, Xiang Que +2
While diffusion models have achieved state-of-the-art performance in Image Super-Resolution (SR), their prohibitive computational and memory demands restrict their training and inf…
RU-Net for Automatic Characterization of TRISO Fuel Cross Sections
Lu Cai, Fei Xu, Min Xian +3
During irradiation, phenomena such as kernel swelling and buffer densification may impact the performance of tristructural isotropic (TRISO) particle fuel. Post-irradiation microsc…
Deep learning-based interactive segmentation in remote sensing
Zhe Wang, Shoukun Sun, Xiang Que +2
Interactive segmentation, a computer vision technique where a user provides guidance to help an algorithm segment a feature of interest in an image, has achieved outstanding accura…
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation
Shoukun Sun, Min Xian, Tiankai Yao +2
Producing large images using small diffusion models is gaining increasing popularity, as the cost of training large models could be prohibitive. A common approach involves jointly…