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Latent Spatial Memory for Video World Models research paper by Microsoft, 2026

Microsoft · Jun 8, 2026 · Multimodal and robotics · 5 citations · 71 upvotes · unverified

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What it shows

Latent spatial memory for video world models stores 3D scene information directly in diffusion latent space, eliminating pixel-space reconstruction overhead and achieving faster generation with reduced memory usage.

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

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About this paper
Authors
Weijie Wang, Haoyu Zhao, Yifan Yang and 7 more
arXiv
2606.09828 · PDF
Venue
arXiv.org
Citations
5, 0 influential · Semantic Scholar
Upvotes
71 · Hugging Face
Code
github.com/microsoft/LatentSpatialMemory
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 5Sep 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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