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Alterbute: Editing Intrinsic Attributes of Objects in Images research paper by Google, 2026

Google · Jan 15, 2026 · Multimodal and robotics · 0 citations · 31 upvotes · unverified

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What it shows

Alterbute presents a diffusion-based approach for editing object intrinsic attributes while preserving identity and context through relaxed training objectives and visual named entities for scalable supervision.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Tal Reiss, Daniel Winter, Matan Cohen and 4 more
arXiv
2601.10714 · PDF
Venue
arXiv.org
Citations
0, 0 influential · Semantic Scholar
Upvotes
31 · Hugging Face
Lab
Google · on Companies · on Acquisitions · on Paydays · on TechConf · on Releases

Changes

What changed
Upvotes30 to 31 (+1)Sep 25, 2026
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 0Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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