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MotionStream: Real-Time Video Generation with Interactive Motion Controls research paper by Adobe, 2025

Adobe · Nov 3, 2025 · Multimodal and robotics · 76 citations · 33 upvotes · unverified

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What it shows

MotionStream enables real-time video generation with sub-second latency and up to 29 FPS by distilling a text-to-video model with motion control into a causal student using Self Forcing with Distribution Matching Distillation and sliding-window causal attention with attention sinks.

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

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About this paper
Authors
Joonghyuk Shin, Zhengqi Li, Richard Zhang and 4 more
arXiv
2511.01266 · PDF
Venue
arXiv.org
Citations
76, 8 influential · Semantic Scholar
Upvotes
33 · Hugging Face
Code
github.com/alex4727/motionstream
Lab
Adobe · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 8Sep 25, 2026
Citationsfirst count: 76Sep 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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