Comments (5)
Hi Vikram91221,
It can indeed be a challenging problem to apply the manipulation results to full image, especially with StyleGAN-based methods.
I would highly recommend that you read the paper https://www.mmlab-ntu.com/project/styleganex and try their open-source code. Styleganex is an excellent work that can be extended into larger image areas, and can accommodate variable resolutions, making them more robust in characterizing unaligned faces. What's more, styleganex claims that it can directly load the original StyleGAN parameters, fully compatible with the generative space of StyleGAN, and retains its style representation and editing ability.
While I have not personally tried using styleganex, it is worth a try to explore and experiment with this model by replacing the StyleGAN code in this project with styleganex, which may help you achieve better results.
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I really loved the question put by vikram91221 and a quick response from Author. Thankyou for quick response @oneThousand1000 because it helps the others and like minded people like me a lot. Once Again, Thankyou...I too love to try
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Hi @oneThousand1000 . Could you please try with the recommended paper because I'm not able to understand on how to replace the STYLEGAN code with Styleganex in the hair mapper project. If you are busy, could you atleast let me know in detail as what is the suitable exact paper to address vikram91221 issue because I'm again NOT able to pick among the publications as there are a lot of papers. Thanks in Advance.
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Hi @oneThousand1000 . Could you please try with the recommended paper because I'm not able to understand on how the replace the STYLEGAN code with Styleganex in the hair mapper project. If you are busy, could you let me know in detail so that others also find easy. Thanks in Advance.
I would like to direct your attention to the "Image Face Editing" portion of the StyleGANEX paper at https://www.mmlab-ntu.com/project/styleganex. This will provide you with a good understanding of how the authors achieved effective face editing using the model.
While StyleGANEX is a powerful tool for full image editing, I should note that our Hairmapper may not be fully compatible with it. Therefore, I suggest that you first read through the paper to better understand how StyleGANEX can be implemented in combination with other face editing methods and to determine if any modifications to the Hairmapper are necessary.
Once you have reviewed the paper, you may apply some modifications or re-training to Hairmapper if needed, before following these steps:
- Finish the installation steps as outlined in https://github.com/williamyang1991/StyleGANEX.
- Run StyleGANEX Inversion to obtain the latent code and the first-layer feature.
- Run the Hairmapper, making any necessary modifications as required.
I am currently occupied with other tasks and am unable to provide further assistance with this extension.
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Thanks a lot, Again. Superb response. I will look into it.
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Related Issues (20)
- Is it possible to provide online demo or obtain test results by https request? HOT 1
- more about blending the clean face with some hairstyle templates HOT 6
- How to blend other hair style? HOT 2
- About the latent space of stylegan2 and stylegan2-ada. HOT 7
- About 'keeping the rest of the layers unchanged'. HOT 3
- Bald should work on full image HOT 9
- Color cast in the result images HOT 4
- AssertionError : Stylegan_ada HOT 2
- Output Color is changed HOT 7
- Resize error for face parsing mask HOT 3
- Results on horizontal flipped images HOT 3
- Running Mapper on Batches HOT 4
- id_loss is not active HOT 2
- Which model is being used to test 3D face reconstruction result HOT 2
- How to test other images? HOT 2
- What about beard? HOT 16
- How is the file StyleGAN2-ada-Generator.pth generated? HOT 9
- About loss hair and loss face different from paper
- About video hair removing HOT 7
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