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Efficiently Reconstructing Dynamic Scenes One D4RT at a Time research paper by Google, 2025

Google · Dec 9, 2025 · Multimodal and robotics · 42 citations · 25 upvotes · unverified

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What it shows

D4RT, a unified transformer-based model, efficiently reconstructs 4D scenes from videos by querying 3D positions in space-time, outperforming previous methods.

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

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About this paper
Authors
Chuhan Zhang, Guillaume Le Moing, Skanda Koppula and 11 more
arXiv
2512.08924 · PDF
Venue
arXiv.org
Citations
42, 4 influential · Semantic Scholar
Upvotes
25 · Hugging Face
Lab
Google · on Companies · on Acquisitions · on Paydays · on TechConf · on Releases

Changes

What changed
Influential citationsfirst count: 4Sep 25, 2026
Citationsfirst count: 42Sep 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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