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Generative Modeling on ImageNet 256x256 (train)
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3.56
FID (50K)
Ours
1.024
18.142
35.26
52.378
Jun 4, 2026
FID (50K)
Updated 1mo ago
Evaluation Results
Method
Method
Links
FID (50K)
Ours
Data Budget=0.8% (10K)...
2026.06
3.56
D2C
Data Budget=0.8% (10K)...
2026.06
3.98
Random
Data Budget=0.8% (10K)...
2026.06
4.35
Ours
Data Budget=4.0% (50K)...
2026.06
7.26
Ours
Data Budget=8.0% (100K...
2026.06
8.83
D2C
Data Budget=4.0% (50K)...
2026.06
11.21
K-Center
Data Budget=0.8% (10K)...
2026.06
14.77
D2C
Data Budget=8.0% (100K...
2026.06
15.01
Herding
Data Budget=0.8% (10K)...
2026.06
22.96
Herding
Data Budget=4.0% (50K)...
2026.06
29.11
Random
Data Budget=4.0% (50K)...
2026.06
31.13
Herding
Data Budget=8.0% (100K...
2026.06
32.3
Random
Data Budget=8.0% (100K...
2026.06
36.64
K-Center
Data Budget=4.0% (50K)...
2026.06
61.66
K-Center
Data Budget=8.0% (100K...
2026.06
66.96
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