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MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

The proposed method consists of four components: feature extractor using ViT, transposed attention block, scale swin transformer block, and a dual branch structure for patch-weighted quality prediction.

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Cite this as

Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Yujiu Yang (2024). Dataset: MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment. https://doi.org/10.57702/nb5q5ea2

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Sidi Yang
More Authors	Tianhe Wu Shuwei Shi Shanshan Lao Yuan Gong Mingdeng Cao Jiahao Wang Yujiu Yang
Homepage	https://github.com/IIGROUP/MANIQA