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Feb 24, 2024 · In this paper, we present a heterogeneous dynamic convolutional network in image super-resolution (HDSRNet). To capture more information, ...
Heterogeneous dynamic convolutional network in image super-resolution (HDSRNet) is conducted by Chunwei Tian, Xuanyu Zhang, Jia Ren, Wangmeng Zuo, Yanning Zhang ...
Feb 24, 2024 · Single image super-resolution (SISR) techniques can obtain high-quality images from given low-resolution images (LR), according to solution of ...
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A heterogeneous group SR CNN (HGSRCNN) via leveraging structure information of different types to obtain a high-quality image and a parallel upsampling ...
Sep 26, 2022 · In this paper, we present a heterogeneous group SR CNN (HGSRCNN) via leveraging structure information of different types to obtain a high- ...
(PDF) A heterogeneous group CNN for image super-resolution
www.researchgate.net › ... › Heterogeneity
Sep 26, 2022 · In this paper, we present a heterogeneous group SR CNN (HGSRCNN) via leveraging structure information of different types to obtain a high- ...
Jan 6, 2024 · ... dynamic manifold learning framework that models the dynamic structures of the terrain surface. ... With the rise of deep learning, neural networks ...
A Heterogeneous Dynamic Convolutional Neural Network for Image Super-resolution ... The lower network utilizes a symmetric architecture to enhance ...
Image super-resolution via dynamic network (DSRNet) is conducted by Chunwei Tian, Xuanyu Zhang, Qi Zhang, Mingming Yang and Zhaojie Ju, and accepted by CAAI ...
Convolutional neural networks depend on deep network architectures to extract accurate information for image super‐resolution. However, obtained information ...