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Description
In order to create synthetic data for OCR, we try out the approach of font style transfer using deep learning.
Model will transfer font style onto an image of text given. Now research on v…
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Hello ,thanks for your work!
However,I didn't find the model of cGANs. And I don't know how to train the datasets?
Had you ever tried to run the code on the UCSD ped1/ped2 datasets?
Thanks for y…
Tiacy updated
4 years ago
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We need to understand the backend architecture so that we can be confident about it.
-Model1: GAN
We have generator & discriminator.
Based on the user's choice it learns & improves upon.
It…
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感谢菊苣的工作，最近在做深度学习和去雾的结合，有没有考虑过用gan进行风格转换的思想？看传统方法都是图像增强或者暗通道这种。
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If static_vars is assigned, then the aux_hr variable is defined. However, for static_vars = None, aux_hr is not defined and the code fails. See lines 338-341 (https://github.com/carlos-gg/dl4ds/blob/2…
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Dear Sir ,
Brilliant work ! Congratulations!.
I wonder if you can kindly share the code of reproducing the graphs of (number of antennas, NMSE) and (SNR, NMSE) ..
I'm waiting for your reply..
Than…
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Hi, I have question regarding some points in there
- regarding point 1, is there a reason behind normalizing the input into (-1,1) scale? Is it because the usage of tanh as generator output?
- reg…
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Previously you had resolved all the queries and appreciated for the frequent reply .With the ray of hope i need help in another problem too
https://github.com/eriklindernoren/PyTorch-GAN(im using cGA…
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# Abstract
Generative Adversarial Networks(GAN)은 데이터 생성에서 뛰어난 모습을 보이고 있다. 많은 영역에서 쓰이고 있지만 여전히 안정적인 학습에는 어려움이 따른다. 문제점으로는 Nash-equilibrium, internal covariate shift, mode collapse, vanishing gradient,…
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