Kolja Bauer

Kolja Bauer

koljabauer.bsky.social

ELLIS PhD Student in Generative AI @ Ommer Lab (Stable Diffusion)

👤 Joined on 22 November 2024

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  • 22 Kas 2024, 09:30
    🎉 Bluesky'e katıldı - İlk kullanıcı adı: @koljabauer.bsky.social

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This was joint work with @koljabauer.bsky.social, @stefanabaumann.bsky.social, @itsbautistam.bsky.social, @kindsuss.bsky.social, and Björn Ommer. Thanks for the awesome collaboration!

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We don’t see this specialized model as the end goal. Instead, we hope tasks like this can become useful ingredients for training future multimodal models to reason directly from visual examples — not just language. Paper: arxiv.org/abs/2607.02402 Code: github.com/CompVis/set...

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Our VICIS task naturally extends beyond semantic concepts. For example, the “shared concept” can also describe transformations, allowing the model to learn visual analogies from examples. More broadly: examples can define the representation space.

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Surprisingly, VLMs have a really hard time solving these tasks. Even very capable VLMs often ignore the visual context and instead latch onto the most salient object in the query: The same query paired with a different context should lead to a different interpretation, but often does not.

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We train a model specifically for this task. Given • a set of example images • a query image it infers the shared concept, predicts a concept-specific embedding space, and projects the query into that space. This retains only the relevant signal from the query.

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