Progressive Upsampling Generative Adversarial Network with Collaborative Attention for Single-Image Super-Resolution

Single-image super-resolution (SISR) is an essential low-level visual task that aims to produce high-resolution images from low-resolution inputs. However, most existing SISR methods heavily rely on ideal degradation kernels and rarely consider the actual noise distribution. To tackle these issues,...

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Auteurs principaux:	Haoxiang Lu, Jing Zhang, Mengyuan Jing, Ziming Wang, Wenhao Wang
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-02-01
Collection:	Journal of Imaging
Sujets:	single-image super-resolution generative adversarial network progressive upsampling attention mechanism
Accès en ligne:	https://www.mdpi.com/2313-433X/12/2/79
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