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FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations research paper by Stanford University, 2026

Stanford University · Sep 17, 2026 · Inference and efficiency · 0 citations · 38 upvotes · unverified

Read on arXiv

What it shows

Modeling articulated objects from sparse monocular views is challenging because each observation reveals only partial geometry and motion evidence.

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

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About this paper
Authors
Kevin Qu, Tao Sun, Massimiliano Viola and 5 more
arXiv
2609.20817 · PDF
Citations
0, 0 influential · Semantic Scholar
Upvotes
38 · Hugging Face
Lab
Stanford University

Changes

What changed
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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