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Benchmarks
Model Efficiency on RICE2 Declouding
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0.21
Parameters (M)
SPA-GAN
-0.8268
6.1716
13.17
20.1684
Apr 3, 2026
Parameters (M)
FLOPs (G)
GPU Memory (MB)
Latency (ms)
Updated 13d ago
Evaluation Results
Method
Method
Links
Parameters (M)
FLOPs (G)
GPU Memory (MB)
Latency (ms)
SPA-GAN
Input resolution=256 x...
2026.04
0.21
15.2
3,749
26
CVAE
Input resolution=256 x...
2026.04
15.42
37.1
1,097
15.1
CMNet
Input resolution=256 x...
2026.04
16.51
236
1,607
197
ACA-CRNet
Input resolution=256 x...
2026.04
20.39
1,422
6,417
223.7
TGPNet
Input resolution=256 x...
2026.04
21.27
71.4
1,643
60.84
Restormer
Input resolution=256 x...
2026.04
26.13
155
1,629
112.3
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