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ReferStream: Interactive Subject Injection for Streaming Video Generation

Paper recorded by Signals 4 on 2026-10-27 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-27 on arXiv · recorded by Signals 4 on 2026-10-28

Category: cs.CV · 计算机视觉 · first seen 2026-10-28

Abstract

Injecting new subjects naturally during streaming video generation requires integrating newly supplied visual references into the existing video while preserving established subjects and the scene. Encoding references independently of the current scene provides little guidance for this integration, while keeping their features in persistent memory can interfere with established context. We propose

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#117 most recent of 739 cs.CV papers we have recorded · ↑ newer: The Noise Plane: A Diffusion Bridge Across Exponent and Dispersion · ↓ older: A note on data-efficient finetuning of vision foundation models
Cite this page: ReferStream: Interactive Subject Injection for Streaming Video Generation: the #117 most recent of 739 cs.CV papers we have recorded (as of 2026-10-27). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/referstream-interactive-subject-injection-for-streaming-video-generation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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