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SAM 3D: 3Dfy Anything in Images research paper by Meta, 2025

Meta · Nov 20, 2025 · Multimodal and robotics · 256 citations · 117 upvotes · unverified

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What it shows

SAM 3D is a generative model that reconstructs 3D objects from single images using a multi-stage training framework that includes synthetic pretraining and real-world alignment, achieving high performance in human preference tests.

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

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About this paper
Authors
SAM 3D Team, Xingyu Chen, Fu-Jen Chu and 20 more
arXiv
2511.16624 · PDF
Venue
arXiv.org
Citations
256, 57 influential · Semantic Scholar
Upvotes
117 · Hugging Face
Code
github.com/facebookresearch/sam-3d-objects
Lab
Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 57Sep 25, 2026
Citationsfirst count: 256Sep 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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