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cs.CV2024
SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images
Rambod Azimi, Yijian Kong, Dusan Gostimirovic +2
Integrated silicon photonic devices, which manipulate light to transmit and process information on a silicon-on-insulator chip, are highly sensitive to structural variations. Minor…
cs.CV2024
Decoupling Training-Free Guided Diffusion by ADMM
Youyuan Zhang, Zehua Liu, Zenan Li +3
In this paper, we consider the conditional generation problem by guiding off-the-shelf unconditional diffusion models with differentiable loss functions in a plug-and-play fashion.…
cs.CV2024
Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range Displays
Andrei Chubarau, Hyunjin Yoo, Tara Akhavan +1
Conventional image quality metrics (IQMs), such as PSNR and SSIM, are designed for perceptually uniform gamma-encoded pixel values and cannot be directly applied to perceptually no…