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eess.IV2026★ 1 cited
Coordinate-conditioned Deconvolution for Scalable Spatially Varying High-Throughput Imaging
Qianwan Yang, Zhixiong Chen, Jiaqi Zhang +3
Wide-field fluorescence microscopy with compact optics often suffers from spatially varying blur due to field-dependent aberrations, vignetting, and sensor truncation, while finite…
eess.IV2023★ 4 cited
Local Conditional Neural Fields for Versatile and Generalizable Large-Scale Reconstructions in Computational Imaging
Hao Wang, Jiabei Zhu, Yunzhe Li +2
Deep learning has transformed computational imaging, but traditional pixel-based representations limit their ability to capture continuous, multiscale details of objects. Here we i…