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Glad to read your ICCV 2021 paper. I think this is a good paper, a strong baseline, and a simple implementation that could extend to many other research.
I would like to ask when will you share the…
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Very interesting work and congrats for being accepted by ICCV. I am curious that have you tried your thinet model as backbone and applied it to other tasks like object detection, in faster-rcnn or ssd…
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In config.py:
`parser.add_argument('--padd_size',type=int,help='net pad size',default=0)#math.floor(opt.ker_size/2)`
I'm wondering why you commented out the code for same padding to use valid padd…
qedpi updated
4 years ago
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COCO-GAN: Generation by Parts via Conditional Coordinating
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
Accepted to ICCV'19 (oral). All images are compress…
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hi Movchan
thanks your code and blog first. it is so cool. after that do you make any other effort to improve the result ? as you know. the user upload the image with noise. we should focus the …
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Congratulations on receiving by ICLR2019 and being oral report,and looking forward to your early source code~
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https://github.com/woozzu/dong_iccv_2017/blob/e7f371aefb3aa2208df832ed779c16027c8f3600/model.py#L77-L83
It seems that you used VGG16bn, and you modified the conv4 layers to a dilated convolution la…
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How do I train it in a custom dataset?
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I was looking at the use of SinGAN for the superresolution of images. Usually, when I am using architectures like SRGAN, there is a training and inference stage. But, for the SinGAN superresolution ex…
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### Description
The current SOTA paper for image retrieval was published in 2020. It's called "Combination of Multiple Global Descriptors for Image Retrieval," and you can find it [here](https://arxi…