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Models/ML-CrAIST

ML-CrAIST

Reported on 136 benchmarks across 4 tasks · 1 paper · 40 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision68 results

Image Super-Resolutionon3x upscaling
#params (K)· 2024-08-19
1268
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-Resolutionon3x upscaling
FLOPs(G)· 2024-08-19
84.1
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-Resolutionon4x upscaling
#params (K)· 2024-08-19
1280
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-Resolutionon4x upscaling
FLOPs(G)· 2024-08-19
42.9
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-Resolutionon2x upscaling
#params (K)· 2024-08-19
1259
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-Resolutionon2x upscaling
FLOPs(G)· 2024-08-19
165.7
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononB100 - 2x upscaling
SSIM· 2024-08-19
0.9022
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononB100 - 4x upscaling
PSNR· 2024-08-19
27.78
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononB100 - 4x upscaling
SSIM· 2024-08-19
0.7446
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononB100 - 3x upscaling
SSIM· 2024-08-19
0.8111
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-Resolutionon3x upscaling
#params (K)· 2024-08-19
1268
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-Resolutionon3x upscaling
FLOPs(G)· 2024-08-19
84.1
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-Resolutionon4x upscaling
#params (K)· 2024-08-19
1280
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-Resolutionon4x upscaling
FLOPs(G)· 2024-08-19
42.9
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-Resolutionon2x upscaling
#params (K)· 2024-08-19
1259
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-Resolutionon2x upscaling
FLOPs(G)· 2024-08-19
165.7
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononB100 - 2x upscaling
SSIM· 2024-08-19
0.9022
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononB100 - 4x upscaling
PSNR· 2024-08-19
27.78
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononB100 - 4x upscaling
SSIM· 2024-08-19
0.7446
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononB100 - 3x upscaling
SSIM· 2024-08-19
0.8111
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet14 - 3x upscaling
PSNR· 2024-08-19
30.39
best: 31.55 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet14 - 3x upscaling
SSIM· 2024-08-19
0.8488
best: 0.8616 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet5 - 4x upscaling
PSNR· 2024-08-19
32.36
best: 33.38 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet5 - 4x upscaling
SSIM· 2024-08-19
0.8984
best: 0.9103 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet14 - 2x upscaling
PSNR· 2024-08-19
33.77
best: 35.36 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet14 - 2x upscaling
SSIM· 2024-08-19
0.922
best: 0.9311 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet14 - 4x upscaling
PSNR· 2024-08-19
28.53
best: 29.54 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet14 - 4x upscaling
SSIM· 2024-08-19
0.7895
best: 0.894 (Edge-informed SR)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet5 - 3x upscaling
PSNR· 2024-08-19
34.7
best: 35.35 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet5 - 3x upscaling
SSIM· 2024-08-19
0.9302
best: 0.938 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononManga109 - 4x upscaling
PSNR· 2024-08-19
31.17
best: 33.19 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononManga109 - 4x upscaling
SSIM· 2024-08-19
0.9176
best: 0.9366 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononUrban100 - 2x upscaling
PSNR· 2024-08-19
33.04
best: 35.24 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononUrban100 - 2x upscaling
SSIM· 2024-08-19
0.937
best: 0.9516 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononManga109 - 3x upscaling
PSNR· 2024-08-19
34.42
best: 36.12 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononManga109 - 3x upscaling
SSIM· 2024-08-19
0.9501
best: 0.9588 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet5 - 2x upscaling
PSNR· 2024-08-19
38.19
best: 39.14 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononSet5 - 2x upscaling
SSIM· 2024-08-19
0.9617
best: 0.9663 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononManga109 - 2x upscaling
PSNR· 2024-08-19
39.26
best: 41.22 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononManga109 - 2x upscaling
SSIM· 2024-08-19
0.9786
best: 0.9846 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononUrban100 - 4x upscaling
PSNR· 2024-08-19
26.68
best: 28.72 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononUrban100 - 4x upscaling
SSIM· 2024-08-19
0.8057
best: 0.9481 (SPSR)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononUrban100 - 3x upscaling
PSNR· 2024-08-19
28.89
best: 31.07 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Image Super-ResolutiononUrban100 - 3x upscaling
SSIM· 2024-08-19
0.8676
best: 0.902 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet14 - 3x upscaling
PSNR· 2024-08-19
30.39
best: 31.55 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet14 - 3x upscaling
SSIM· 2024-08-19
0.8488
best: 0.8616 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet5 - 4x upscaling
PSNR· 2024-08-19
32.36
best: 33.38 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet5 - 4x upscaling
SSIM· 2024-08-19
0.8984
best: 0.9103 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet14 - 2x upscaling
PSNR· 2024-08-19
33.77
best: 35.36 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet14 - 2x upscaling
SSIM· 2024-08-19
0.922
best: 0.9311 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet14 - 4x upscaling
PSNR· 2024-08-19
28.53
best: 29.54 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet14 - 4x upscaling
SSIM· 2024-08-19
0.7895
best: 0.894 (Edge-informed SR)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet5 - 3x upscaling
PSNR· 2024-08-19
34.7
best: 35.35 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet5 - 3x upscaling
SSIM· 2024-08-19
0.9302
best: 0.938 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononManga109 - 4x upscaling
PSNR· 2024-08-19
31.17
best: 33.19 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononManga109 - 4x upscaling
SSIM· 2024-08-19
0.9176
best: 0.9366 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononUrban100 - 2x upscaling
PSNR· 2024-08-19
33.04
best: 35.24 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononUrban100 - 2x upscaling
SSIM· 2024-08-19
0.937
best: 0.9516 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononManga109 - 3x upscaling
PSNR· 2024-08-19
34.42
best: 36.12 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononManga109 - 3x upscaling
SSIM· 2024-08-19
0.9501
best: 0.9588 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet5 - 2x upscaling
PSNR· 2024-08-19
38.19
best: 39.14 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononSet5 - 2x upscaling
SSIM· 2024-08-19
0.9617
best: 0.9663 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononManga109 - 2x upscaling
PSNR· 2024-08-19
39.26
best: 41.22 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononManga109 - 2x upscaling
SSIM· 2024-08-19
0.9786
best: 0.9846 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononUrban100 - 4x upscaling
PSNR· 2024-08-19
26.68
best: 28.72 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononUrban100 - 4x upscaling
SSIM· 2024-08-19
0.8057
best: 0.9481 (SPSR)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononUrban100 - 3x upscaling
PSNR· 2024-08-19
28.89
best: 31.07 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
3D Object Super-ResolutiononUrban100 - 3x upscaling
SSIM· 2024-08-19
0.8676
best: 0.902 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940

Graphs34 results

Super-Resolutionon3x upscaling
#params (K)· 2024-08-19
1268
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-Resolutionon3x upscaling
FLOPs(G)· 2024-08-19
84.1
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-Resolutionon4x upscaling
#params (K)· 2024-08-19
1280
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-Resolutionon4x upscaling
FLOPs(G)· 2024-08-19
42.9
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-Resolutionon2x upscaling
#params (K)· 2024-08-19
1259
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-Resolutionon2x upscaling
FLOPs(G)· 2024-08-19
165.7
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononB100 - 2x upscaling
SSIM· 2024-08-19
0.9022
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononB100 - 4x upscaling
PSNR· 2024-08-19
27.78
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononB100 - 4x upscaling
SSIM· 2024-08-19
0.7446
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononB100 - 3x upscaling
SSIM· 2024-08-19
0.8111
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet14 - 3x upscaling
PSNR· 2024-08-19
30.39
best: 31.55 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet14 - 3x upscaling
SSIM· 2024-08-19
0.8488
best: 0.8616 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet5 - 4x upscaling
PSNR· 2024-08-19
32.36
best: 33.38 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet5 - 4x upscaling
SSIM· 2024-08-19
0.8984
best: 0.9103 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet14 - 2x upscaling
PSNR· 2024-08-19
33.77
best: 35.36 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet14 - 2x upscaling
SSIM· 2024-08-19
0.922
best: 0.9311 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet14 - 4x upscaling
PSNR· 2024-08-19
28.53
best: 29.54 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet14 - 4x upscaling
SSIM· 2024-08-19
0.7895
best: 0.894 (Edge-informed SR)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet5 - 3x upscaling
PSNR· 2024-08-19
34.7
best: 35.35 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet5 - 3x upscaling
SSIM· 2024-08-19
0.9302
best: 0.938 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononManga109 - 4x upscaling
PSNR· 2024-08-19
31.17
best: 33.19 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononManga109 - 4x upscaling
SSIM· 2024-08-19
0.9176
best: 0.9366 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononUrban100 - 2x upscaling
PSNR· 2024-08-19
33.04
best: 35.24 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononUrban100 - 2x upscaling
SSIM· 2024-08-19
0.937
best: 0.9516 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononManga109 - 3x upscaling
PSNR· 2024-08-19
34.42
best: 36.12 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononManga109 - 3x upscaling
SSIM· 2024-08-19
0.9501
best: 0.9588 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet5 - 2x upscaling
PSNR· 2024-08-19
38.19
best: 39.14 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononSet5 - 2x upscaling
SSIM· 2024-08-19
0.9617
best: 0.9663 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononManga109 - 2x upscaling
PSNR· 2024-08-19
39.26
best: 41.22 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononManga109 - 2x upscaling
SSIM· 2024-08-19
0.9786
best: 0.9846 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononUrban100 - 4x upscaling
PSNR· 2024-08-19
26.68
best: 28.72 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononUrban100 - 4x upscaling
SSIM· 2024-08-19
0.8057
best: 0.9481 (SPSR)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononUrban100 - 3x upscaling
PSNR· 2024-08-19
28.89
best: 31.07 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
Super-ResolutiononUrban100 - 3x upscaling
SSIM· 2024-08-19
0.8676
best: 0.902 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940

Methodology34 results

16kon3x upscaling
#params (K)· 2024-08-19
1268
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16kon3x upscaling
FLOPs(G)· 2024-08-19
84.1
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16kon4x upscaling
#params (K)· 2024-08-19
1280
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16kon4x upscaling
FLOPs(G)· 2024-08-19
42.9
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16kon2x upscaling
#params (K)· 2024-08-19
1259
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16kon2x upscaling
FLOPs(G)· 2024-08-19
165.7
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konB100 - 2x upscaling
SSIM· 2024-08-19
0.9022
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konB100 - 4x upscaling
PSNR· 2024-08-19
27.78
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konB100 - 4x upscaling
SSIM· 2024-08-19
0.7446
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konB100 - 3x upscaling
SSIM· 2024-08-19
0.8111
SOTA
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet14 - 3x upscaling
PSNR· 2024-08-19
30.39
best: 31.55 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet14 - 3x upscaling
SSIM· 2024-08-19
0.8488
best: 0.8616 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet5 - 4x upscaling
PSNR· 2024-08-19
32.36
best: 33.38 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet5 - 4x upscaling
SSIM· 2024-08-19
0.8984
best: 0.9103 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet14 - 2x upscaling
PSNR· 2024-08-19
33.77
best: 35.36 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet14 - 2x upscaling
SSIM· 2024-08-19
0.922
best: 0.9311 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet14 - 4x upscaling
PSNR· 2024-08-19
28.53
best: 29.54 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet14 - 4x upscaling
SSIM· 2024-08-19
0.7895
best: 0.894 (Edge-informed SR)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet5 - 3x upscaling
PSNR· 2024-08-19
34.7
best: 35.35 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet5 - 3x upscaling
SSIM· 2024-08-19
0.9302
best: 0.938 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konManga109 - 4x upscaling
PSNR· 2024-08-19
31.17
best: 33.19 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konManga109 - 4x upscaling
SSIM· 2024-08-19
0.9176
best: 0.9366 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konUrban100 - 2x upscaling
PSNR· 2024-08-19
33.04
best: 35.24 (HMA†)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konUrban100 - 2x upscaling
SSIM· 2024-08-19
0.937
best: 0.9516 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konManga109 - 3x upscaling
PSNR· 2024-08-19
34.42
best: 36.12 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konManga109 - 3x upscaling
SSIM· 2024-08-19
0.9501
best: 0.9588 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet5 - 2x upscaling
PSNR· 2024-08-19
38.19
best: 39.14 (DRCT-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konSet5 - 2x upscaling
SSIM· 2024-08-19
0.9617
best: 0.9663 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konManga109 - 2x upscaling
PSNR· 2024-08-19
39.26
best: 41.22 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konManga109 - 2x upscaling
SSIM· 2024-08-19
0.9786
best: 0.9846 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konUrban100 - 4x upscaling
PSNR· 2024-08-19
26.68
best: 28.72 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konUrban100 - 4x upscaling
SSIM· 2024-08-19
0.8057
best: 0.9481 (SPSR)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konUrban100 - 3x upscaling
PSNR· 2024-08-19
28.89
best: 31.07 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940
16konUrban100 - 3x upscaling
SSIM· 2024-08-19
0.8676
best: 0.902 (Hi-IR-L)
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer arXiv:2408.09940