New T-PMambaSR framework enhances image super-resolution with Mamba and attention

Researchers have introduced T-PMambaSR, a new lightweight framework for image super-resolution that combines window-based self-attention with Progressive Mamba. This approach aims to capture global receptive fields efficiently, overcoming the quadratic complexity of Transformer-based methods. The framework also includes an Adaptive High-Frequency Refinement Module to restore lost high-frequency details, demonstrating competitive performance with lower computational costs. AI

IMPACT This research offers a more computationally efficient method for image super-resolution, potentially improving performance in applications requiring high-fidelity image processing.

RANK_REASON This is a research paper detailing a new technical approach to image super-resolution. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• arXiv
• DagsHub
• Guangwei Gao
• Hugging Face
• Mamba
• T-PMambaSR
• Transformer

• paper
• other

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