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ZhexinLiang
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CLIP-LIT
[ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
https://zhexinliang.github.io/CLIP_LIT_page/
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Inquiry About Model Training Duration on RTX 3090 Ti
#24
NayeonSuki
opened
3 months ago
0
想要得到psnr和SSIM评估分数
#23
Lost-Sunset
opened
3 months ago
0
About length_prompt
#22
hqj9994ever
opened
4 months ago
0
CPU下运行test
#21
1041206149
closed
4 months ago
0
A question about the get_clip_score_from_feature function
#20
xiaolong-217
opened
5 months ago
0
prompt fine-tuning阶段中,关于pr_semi_path的指向数据集的困惑?
#19
QQ2263836119
opened
5 months ago
0
Questions about the training mechanism and loss design
#18
JingyiXu404
opened
6 months ago
1
Questions about training
#17
booker-max
opened
6 months ago
3
about the CLIP_enhance loss
#16
diadestiny
closed
6 months ago
1
Question about the prompt tuning
#15
TomTomTommi
opened
7 months ago
6
Is there any special design for low light enhancement?
#14
order-a-lemonade
closed
8 months ago
2
about the data of prompt initialization training
#13
order-a-lemonade
closed
8 months ago
1
How to modify if training other tasks
#12
Zachary-ZCH
opened
8 months ago
1
Weights of the best trained model
#11
Atmyre
closed
8 months ago
5
Number of training iterations & choice of the best model
#10
Atmyre
opened
9 months ago
4
about tarinning log
#9
faicaiwawa
closed
7 months ago
3
Negative PSNR value occured in training phase
#8
zinuoli
closed
9 months ago
14
Questions about retraining with comparative methods
#7
CBY-9527
closed
9 months ago
2
how to pip env?
#6
ganpaper
opened
10 months ago
1
About the prompt and model initialization
#5
jiaqixuac
closed
11 months ago
1
about the init_prompt_pair.pth
#4
diadestiny
closed
11 months ago
2
Train Code
#3
baolinv
closed
11 months ago
1
code
#2
hlinqiao
closed
11 months ago
1
code
#1
flynnamy
closed
11 months ago
1