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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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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 …
ljleb updated
12 months ago
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Thanks for your interesting works.
I wonder how to generate the interpolations by traversing in the latent space.
Could you provide the source code about the latent space traverse if convenient?
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Thanks a lot for sharing!
Didn't try it yet, but will soon :)
Notice that what you refer to as "latent space interpolation" (and the animated gif) are not really interpolations.
You are generatin…
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Description
In order to create synthetic data for OCR, we try out the approach of font style transfer using deep learning.
Model will transfer font style onto an image of text given. Now research on v…
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Hi!
Is there a particular way you went about exporting this Latent Interpolation? Is it possible to do so in 3D?
I've been able to export .obj files without problems, but I'm not sure how to ex…
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## ❓ Questions
I'm curious about using EnCodec to interpolate between audio clips in latent space. However, `model.encode(inputs["input_values"], inputs["padding_mask"])` returns discrete integer c…
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Hi - I've been doing a lot of work lately with interpolation in latent space, and I think linear interpolation might not be the best interpolation operator for high dimensional spaces. Though admitted…
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> Autoencoders provide a powerful framework for learning compressed representations
by encoding all of the information needed to reconstruct a data point in
a latent code. In some cases, autoencoder…
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In this paper (Fig.6) https://arxiv.org/pdf/2010.02502.pdf
they show that it is possible to interpolate sematically the images in latent space.
I tried it with Colab verision of stable diffusion …