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Karine-Huang
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T2I-CompBench
[Neurips 2023] T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
https://arxiv.org/pdf/2307.06350.pdf
MIT License
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How to use this benchmark to evaluate other models, such as SDXL and SD3-medium?
#18
DthdZK
opened
2 weeks ago
4
Making sure to run the benchmark correctly
#17
royg27
closed
1 week ago
0
Data Details When Finetune
#16
zhuangshaobin
opened
1 month ago
1
The problem in vqa_dataset.py
#15
k101w
opened
4 months ago
1
CLIPScore implementation inconsistent with original paper?
#14
mcaccin
closed
4 months ago
4
Details about the LoRA checkpoint released
#13
HUIZ-A
closed
6 months ago
1
Code for compared methods
#12
AshkanTaghipour
opened
6 months ago
12
BLIP VQAeval default 8 noun phrases
#11
pbevan1
closed
6 months ago
2
Question on reproduce the results
#10
TianyunYoung
closed
7 months ago
6
Question about the parameter "np_num" in BLIP_vqa.py
#9
TianyunYoung
closed
7 months ago
2
Question about BLIPvqa code with reproduce scores of shape, texture
#8
ofzlo
closed
8 months ago
2
Question about scores reported in Table 1, Table2, and Table3 in the papers.
#7
JamesSand
closed
7 months ago
1
Question about human-eval dataset
#6
vishaal27
opened
10 months ago
6
Incorrect naming in dataset
#5
khurshudovartem2
closed
11 months ago
0
Other potential detection models?
#4
yinanyz
opened
11 months ago
2
About the GLIP install
#3
superhero-7
opened
11 months ago
6
Dense Captioning Model for Attribute Binding Eval?
#2
yinanyz
opened
11 months ago
3
What is the number of pseudo images generated by Stable Diffusion for GORS fine-tuning?
#1
Delicious-Bitter-Melon
opened
11 months ago
4