CGFTNet: Content-Guided Frequency Domain Transform Network for Face Super-Resolution

CGFTNet: Content-Guided Frequency Domain Transform Network for Face Super-Resolution

Recent advancements in face super resolution (FSR) have been propelled by deep learning techniques using convolutional neural networks (CNN). However, existing methods still struggle with effectively capturing global facial structure information, leading to reduced fidelity in reconstructed images,...

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Bibliographic Details
Main Authors: Yeerlan Yekeben, Shuli Cheng, Anyu Du
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Information
Subjects:
face super-resolution
encoder-decoder architecture
feature fusion
channel attention
visual transformer
Online Access:https://www.mdpi.com/2078-2489/15/12/765
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