EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

A tidy lab report stamped with a teal monospace logo and a row of fat candy buttons.

eq-vae.github.ioEQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
Screenshot of https://eq-vae.github.io/, © the authors. Shown for reference. Request removal
Venue
ICML 2025
Year
2025
First author
Theodoros Kouzelis
Field
generative image modeling
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Academic Project Page Template (Bulma 0.9.1, Nerfies lineage)
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Light

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Teal accent on the title, plus a confident row of large varied pill buttons. The two-part teaser (latent grid and training curve) is well captioned, a grey band sets off the abstract, and a latent-visualisation carousel follows. Tidy, with a clear identity.

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EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Abstract · Method · Results · BibTeX — 0123456789
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EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Abstract · Method · Results · BibTeX — 0123456789
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EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Abstract · Method · Results · BibTeX — 0123456789

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