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Count on Latent Diffusion Models reasoning evaluation set
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140
Human Count
Humans
5.84
40.67
75.5
110.33
Nov 17, 2023
Human Count
CLIPScore
MID
VPEval
LLMScore
SELFEVAL
Updated 4d ago
Evaluation Results
Method
Method
Links
Human Count
CLIPScore
MID
VPEval
LLMScore
SELFEVAL
Humans
Text Encoder=T5
2023.11
140
-
-
-
-
-
Humans
Text Encoder=CLIP
2023.11
11
-
-
-
-
-
CLIPScore
Text Encoder=CLIP
2023.11
-
0.76
-
-
-
-
CLIPScore
Text Encoder=T5
2023.11
-
0.8
-
-
-
-
MID
Text Encoder=CLIP
2023.11
-
-
-21,000
-
-
-
MID
Text Encoder=T5
2023.11
-
-
-7,600
-
-
-
VPEval
Text Encoder=CLIP
2023.11
-
-
-
64.7
-
-
VPEval
Text Encoder=T5
2023.11
-
-
-
18.9
-
-
LLMScore
Text Encoder=CLIP
2023.11
-
-
-
-
9.6
-
LLMScore
Text Encoder=T5
2023.11
-
-
-
-
8.4
-
SELFEVAL
Text Encoder=CLIP
2023.11
-
-
-
-
-
24.4
SELFEVAL
Text Encoder=T5
2023.11
-
-
-
-
-
26.3
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