SAFMN

[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge

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375 Stars

21 Forks

375 Watchers

Python Language

100 SrcLog Score

Cost to Build

$22.76M

Market Value

$77.56M

How is this calculated?

Growth over time

2 data points · 2026-04-09 → 2026-04-16

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What is the sunny2109/SAFMN GitHub project? Description: "[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone SAFMN

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git clone https://github.com/sunny2109/SAFMN.git

Clone via SSH

[email protected]:sunny2109/SAFMN.git

Download ZIP

Download master.zip

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