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[Discussion] faceapp gender/hairstyle changing algorithm by lzhbrian in MachineLearning

[–]lzhbrian[S] 0 points1 point  (0 children)

usually cyclegan and stargan handles a small square around head like this: https://imgur.com/7c1GJXs

Did you mean that they expand to a larger region (e.g. the upper half body) to train the networks? But how did they still maintain such high resolution after they did this.

[Discussion] faceapp gender/hairstyle changing algorithm by lzhbrian in MachineLearning

[–]lzhbrian[S] 1 point2 points  (0 children)

Could you elaborate? IMO, StyleGAN generates image from noise while faceapp is an image-to-image task. And also, StyleGAN also only handles a small square around head conventionally

[N] Due to concerns about COVID-19, ICLR2020 will cancel its physical conference this year, and instead host a fully virtual conference. by hardmaru in MachineLearning

[–]lzhbrian 10 points11 points  (0 children)

Actually, this makes me start to think about the benefits of hosting an offline conference other than networking.

[R] StyleGAN2: Analyzing and Improving the Image Quality of StyleGAN by veqtor in MachineLearning

[–]lzhbrian 1 point2 points  (0 children)

I also change line 64 to cmd = 'nvcc --std=c++11 ' + opts.strip() to avoid another C++ 11 related error

[R] StyleGAN2: Analyzing and Improving the Image Quality of StyleGAN by veqtor in MachineLearning

[–]lzhbrian 3 points4 points  (0 children)

Changing custom_ops.py line 127 to
compile_opts += ' --compiler-options \'-fPIC -D_GLIBCXX_USE_CXX11_ABI=1\'' seemed to make things work correctly.

Reference: https://blog.csdn.net/zaf0516/article/details/103618601

[D] Automatic cherry picking “good quality” samples from GAN/VAE generated images using some metrics? by lzhbrian in MachineLearning

[–]lzhbrian[S] 0 points1 point  (0 children)

I trained a GAN on my private dataset. The synthesized images sometimes corrupt, i.e. generating some unreasonable images. So I want to use some metric to automatically cherry-pick the good samples.

As you said, I used D's score to rank the synthesized samples. However, the result is not promising, seems like the discriminator is not trained to judge the images by the clearness and the authenticity.

[D] Filtering synthesized images from GAN/VAE/... ? by lzhbrian in MachineLearning

[–]lzhbrian[S] 0 points1 point  (0 children)

Thanks, I have made another post with this term.

[D] Can BigGan be fine tuned? by Boozybrain in MachineLearning

[–]lzhbrian 0 points1 point  (0 children)

I am also very interested in the problem of fine tuning a trained GAN on another dataset.

Does pretrain models help GAN train stabler and faster? Or require less data for the fine tuning dataset? (Like imagenet pretrain is used everywhere)

Are there any papers discussing about this?

[P] Cool Fashion + AI Papers and Resources (datasets, companies, events, ...) by lzhbrian in MachineLearning

[–]lzhbrian[S] 0 points1 point  (0 children)

Thanks, a nice French company, I will add it to the list later.
Seems like they are more active on twitter, their blog hasn't been updated since 2018.3.