Image Super Resolution On Bsd100 3X Upscaling

PSNR

评测结果

各个模型在此基准测试上的表现结果

比较表格

模型名称	PSNR
lightweight-image-super-resolution-with-1	29.09
channel-partitioned-windowed-attention-and	29.56
hierarchical-information-flow-for-generalized	29.67
activating-more-pixels-in-image-super	29.59
channel-partitioned-windowed-attention-and	29.59
feedback-network-for-image-super-resolution	29.24
image-restoration-using-convolutional-auto	28.93
a-framework-for-real-time-object-detection	29.27
multi-level-wavelet-cnn-for-image-restoration	29.12
densely-residual-laplacian-super-resolution	29.4
lcscnet-linear-compressing-based-skip	28.87
image-restoration-using-deep-regulated	28.76
image-super-resolution-with-cross-scale-non	29.33
single-image-super-resolution-via-a-holistic	29.41
hmanet-hybrid-multi-axis-aggregation-network	29.66
local-texture-estimator-for-implicit	29.39
beyond-a-gaussian-denoiser-residual-learning	28.85
lightweight-feature-fusion-network-for-single	28.91
swinfir-revisiting-the-swinir-with-fast	29.6
activating-more-pixels-in-image-super	29.63
swinfir-revisiting-the-swinir-with-fast	29.55