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Hi.
Thanks for releasing the code for your interesting paper.
I looked into the repo, but couldn't find the latent space projection and interpolation code for Figure 10 results.
Can you please pr…
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Hi @a312863063 ,
Thank you for this great repository and we are using this for our GANs research.
I need a clarification for creating the latent space vector from our own image to feed into thi…
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We are using the delivery client and querying for entries using the `entries()` method. We are seeing significant latency from this method call that far exceeds the time for the HTTP request to return…
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Hi,
we really enjoyed reading your paper and your novel approach to anonymize face images by removing identifying information in the latent space of a face generation network and we appreciate you …
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I'd like to ask, during the stage of regional latent space fusion in different areas, is this method really resizing to the corresponding positions? Looking at the code, it seems that only the laten…
Lne27 updated
4 months ago
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In looking at manifolds in my own experiments, I have noticed a consistent "dead zone" near the origin of the latent space. Here is an example generated with `faces/train_uncond_dcgan.py` and z=100:
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Prompt interpolation currently uses embeddings to calculate values in-between control points. I'm not sure whether this is the right way to interpolate prompts, or if we should instead work in latent …
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I enjoy using this library very much. However, I notice that other embedding techniques like DINOv2 may also be used in building the search index, and perhaps leads to higher retrieval accuracy. Is th…
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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…