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Thank you very much for the great results you’ve achieved! It’s very impressive. However, I see that it doesn’t do well / looks natural on faces. Either it’s the color in the face that’s very much sta…
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Hi Egor Burkov, thanks for your great project. Now I'm trying to train the meta learning model from scratch, however, the training results are not good as your model. Our dataset is much smaller (625 …
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Hi @Wendison , I've already has trained some models (with VCTK subsets and external speakers) and could notice that a bigger batch size doesn't necessarily results in better audio quality for the same…
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Hi Xiao!
Thank you for your sharing.
I have reproduced the results using the code you shared. The environment is as followed:
- Python 3.7.11
- Pytorch 1.7.1
- Scipy 1.7.1
- Cuda toolkit …
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I did try to run the last instruction , where for GEOMETRY_ID , I have given the trained surface model with surface_world_coordinates.ply and same for appearance_id too, even I have changed those gene…
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Hi,
I think your idea that discovering directions using contrastive learning[https://arxiv.org/pdf/2104.00820.pdf] is almost the same with "Do Generative Models Know Disentanglement? Contrastive Lea…
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Hi, thanks for your paper and code. I am working on Incremental multi-task learning for different fine-grained classification tasks. I found your research really useful and wish to baseline against it…
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Hi Daniel. Thank you for great work.
I have trained my StyleGAN2-ada model using sketch data, which generates sketches quite well.
After that, to manipulate real-images, I have tested PTI but the qu…
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Hi, I have succeeded in linear interpolation smoothly, but I want some more.
I want to disentangle latent space.
For Example, I don't want big features to move and small features to move something …