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Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections

Xiaojiao Mao, Chunhua Shen, Yu-Bin Yang

Nov-21-2025, 04:28:23 GMT–Neural Information Processing Systems 

In this paper, we propose a very deep fully convolutional encoding-decoding framework for image restoration such as denoising and super-resolution.

  artificial intelligence, machine learning, skip connection, (16 more...)

Neural Information Processing Systems

Nov-21-2025, 04:28:23 GMT

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  • Country:
    • Asia > China
      • Jiangsu Province > Nanjing (0.04)
    • Europe > Spain
      • Catalonia > Barcelona Province > Barcelona (0.04)
    • Oceania > Australia
      • South Australia > Adelaide (0.04)
  • Genre:
    • Research Report > New Finding (0.46)
  • Technology:
    • Information Technology
      • Artificial Intelligence > Machine Learning
        • Neural Networks > Deep Learning (1.00)
      • Sensing and Signal Processing > Image Processing (1.00)

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Title
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections † † State Key Laboratory for Novel Software Technology, Nanjing University, China
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections

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