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A Scalable Training Strategy for Blind Multi-Distribution Noise Removal
Our work improves upon a recently proposed universal denoiser training strategy by extending these results to higher dimensions and by incorporating a polynomial approximation of the true specification-loss landscape.
TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions
We then demonstrate, in simulation, that time-averaged dynamic (TiDy) phase masks can offer substantially improved monocular depth estimation and extended depth-of-field imaging performance.
Secret-Keeping in Question Answering
Existing question-answering research focuses on unanswerable questions in the context of always providing an answer when a system can\dots but what about cases where a system {\bf should not} answer a question.
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