CubeFormer introduces 3D cube attention for lightweight image super-resolution, achieving state-of-the-art PSNR/SSIM on several benchmarks with modest parameter counts.
Simple baselines for image restoration
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution
CubeFormer introduces 3D cube attention for lightweight image super-resolution, achieving state-of-the-art PSNR/SSIM on several benchmarks with modest parameter counts.