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Any Forcing: Any-Step Generality and One-Step Stability for Autoregressive Video Generation

Paper recorded by Signals 4 on 2026-10-30 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-30 on arXiv · recorded by Signals 4 on 2026-11-02

Category: cs.CV · 计算机视觉 · first seen 2026-11-02

Abstract

Autoregressive video generation enables efficient inference through streaming prediction. However, existing methods are typically restricted to fixed sampling steps, limiting the flexibility to balance generation quality and efficiency, while one-step generation suffers from degraded visual quality and error accumulation over long sequences, leading to content drift and generation collapse. To add

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#40 most recent of 710 cs.CV papers we have recorded · ↑ newer: REA: A Routed Embodied Agent Runtime for Asynchronous Brain-Cerebellum · ↓ older: GeoFlip: Benchmarking Geometry-Sensitive Physics in Video Generation
Cite this page: Any Forcing: Any-Step Generality and One-Step Stability for Autoregressive Video Generation: the #40 most recent of 710 cs.CV papers we have recorded (as of 2026-10-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/any-forcing-any-step-generality-and-one-step-stability-for-autoregressive-video-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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