Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Image Colorization on ImageNet-1K (test)
Loading...
0.53
MSE
MULTI-VQGAN
0.5244
0.5622
0.6
0.6378
Jan 15, 2026
Jan 28, 2026
Feb 10, 2026
Feb 23, 2026
Mar 8, 2026
Mar 21, 2026
Apr 4, 2026
MSE
Updated 12d ago
Evaluation Results
Method
Method
Links
MSE
MULTI-VQGAN
Type=Fusion, K=16
2026.01
0.53
MULTI-VQGAN
Type=Fusion, K=8
2026.01
0.54
CONDENSER
Type=Fusion, K=16
2026.01
0.54
CONDENSER
Type=Fusion, K=8
2026.01
0.56
RH-Partial2Global
Ref.=NIPS 2025, Voting...
2026.04
0.56
Partial2Global
Type=Single Prompt Sel...
2026.01
0.58
Partial2Global
Ref.=NIPS 2024, Voting...
2026.04
0.58
LaPR
Ref.=CVPR 2026, Voting...
2026.04
0.6
Task-Level Prompting
Type=Single Prompt Sel...
2026.01
0.62
Zhu et al.
Ref.=AAAI 2025, Voting...
2026.04
0.62
UnsupPR
Type=Single Prompt Sel...
2026.01
0.63
SupPR
Type=Single Prompt Sel...
2026.01
0.63
Prompt-Self
Type=Single Prompt Sel...
2026.01
0.63
UnsupPR
Ref.=NIPS 2023, Voting...
2026.04
0.63
SupPR
Ref.=NIPS 2023, Voting...
2026.04
0.63
Random
Type=Single Prompt Sel...
2026.01
0.67
Random
Ref.=NIPS 2022, Voting...
2026.04
0.67
Feedback
Search any
task
Search any
task