Deep learning for high-resolution material texture enhancement in 3D environments. [PDF]
Alonso K, Patow G.
europepmc +1 more source
Real-world face super-resolution based on generative adversarial and face alignment networks. [PDF]
Fathy H, Faheem MT, Elbasiony R.
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Progressive Upsampling Generative Adversarial Network with Collaborative Attention for Single-Image Super-Resolution. [PDF]
Lu H, Zhang J, Jing M, Wang Z, Wang W.
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Super-resolution approach tailored for wafer transmission electron microscopy images. [PDF]
Kim S +8 more
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Deep learning for enhancement of low-resolution and noisy scanning probe microscopy images. [PDF]
Gelman S +9 more
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Comprehensive Review of Deep Learning Approaches for Single-Image Super-Resolution. [PDF]
Liu Z, Jiang S, Feng S, Song Q, Zhang J.
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Multiparametric magnetic resonance imaging of deep learning-based super-resolution reconstruction for predicting histopathologic grade in hepatocellular carcinoma. [PDF]
Wang ZZ +5 more
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Hierarchical sparse Bayesian learning with adaptive Laplacian prior for single image super-resolution. [PDF]
Qi M, Zhou Y, Hu Y, Xie C, Xu S.
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Real-world super-resolution with VLM-based degradation prior learning. [PDF]
Chen X, Mao D, Ke J.
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Implementation and Optimization of a Random Illumination Microscope: towards Robustness for Microscopy Core Facility. [PDF]
Soler N +13 more
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