mlsanityData to 7 Oct 2026

Image Super-resolution with An Enhanced Group Convolutional Neural Network

arXiv 2205.14548 ↗First posted 29 May 2022cs.CV eess.IVcited by 7

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Abstract (arXiv)

CNNs with strong learning abilities are widely chosen to resolve super-resolution problem. However, CNNs depend on deeper network architectures to improve performance of image super-resolution, which may increase computational cost in general. In this paper, we present an enhanced super-resolution group CNN (ESRGCNN) with a shallow architecture by fully fusing deep and wide channel features to extract more accurate low-frequency information in terms of correlations of different channels in single image super-resolution (SISR). Also, a signal enhancement operation in the ESRGCNN is useful to inherit more long-distance contextual information for resolving long-term dependency. An adaptive up-sampling operation is gathered into a CNN to obtain an image super-resolution model with low-resolution images of different sizes. Extensive experiments report that our ESRGCNN surpasses the state-of-the-arts in terms of SISR performance, complexity, execution speed, image quality evaluation and visual effect in SISR. Code is found at https://github.com/hellloxiaotian/ESRGCNN.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 37 of its 77 references that are in the map. First posted on arXiv 29 May 2022.

Builds on

37 of 77 references.

References · 37

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25 more
  1. 2018Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Networkcited by 263
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Built on by

Cited by year

Citing papers per year: 2023: 6; 2024: 0; 2025: 1.

7 papers.

  1. 2023Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategycited by 9
  2. 2023SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalingscited by 4
  3. 2023Image super-resolution via dynamic networkcited by 2
  4. 2023Image Super-Resolution using Efficient Striped Window Transformercited by 1
  5. 2025A Tree-guided CNN for image super-resolutioncited by 1
  6. 2023Object Detection for Caries or Pit and Fissure Sealing Requirement in Children's First Permanent Molarscited by 0
  7. 2023A Lightweight Recurrent Grouping Attention Network for Video Super-Resolutioncited by 0