HIGHLIGHTS
- who: Meng Wang and colleagues from the Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China have published the paper: A Codec-Unified Deblurring Approach Based on U-Shaped Invertible Network with Sparse Salient Representation in Latent Space, in the Journal: Electronics 2022, 11, 2177. of /2022/
- what: These issues are what this study aims to overcome. The authors attempt to sparse the latent variables in different levels to optimize the information distribution and thus alleviate the inefficiency caused by massive dimension learning of invertible networks. The authors attempt to . . .
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