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<!DOCTYPE html>
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<title>UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers</title>
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</div>
<h4 class="title is-3 publication-title">UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers</h4>
<div class="is-size-6 publication-authors">
<span class="author-block">
<a href="https://gracezhao1997.github.io/">Min Zhao*</a><sup>1,2</sup>,
</span>
<span class="author-block">
<a href="https://zhuhz22.github.io/">Hongzhou Zhu*</a><sup>1,2</sup>,
</span>
<span class="author-block">
<a href="https://voyagerthu.github.io/minimal-light/">Yingze Wang</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://github.com/KasenYoung">Bokai Yan</a><sup>4</sup>,
</span>
<span class="author-block">
<a href="https://gracezhao1997.github.io/">Jintao Zhang</a><sup>1,2</sup>,
</span>
<span class="author-block">
<a href="https://guandehe.github.io/">Guande He</a><sup>3</sup>,
</span>
<span class="author-block">
<a href="https://zhenxuan00.github.io/">Ling Yang</a><sup>5</sup>,
</span>
<span class="author-block">
<a href="https://zhenxuan00.github.io/">Chongxuan Li</a><sup>4</sup>,
</span>
<span class="author-block">
<a href="https://ml.cs.tsinghua.edu.cn/~jun/index.shtml">Jun Zhu</a><sup>1,2</sup>
</span>
</div>
<br>
<div class="is-size-6 publication-authors">
<span class="author-block"><sup>1</sup>THU,</span>
<span class="author-block"><sup>2</sup>ShengShu,</span>
<span class="author-block"><sup>3</sup>UT-Austin,</span>
<span class="author-block"><sup>4</sup>RUC,</span>
<span class="author-block"><sup>5</sup>Princeton</span>
</div>
<br>
<span class="link-block">
<a href="https://arxiv.org/abs/2511.20123" target="_blank" class="external-link ">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
</a>
</span>
<span class="link-block">
<a href="https://github.com/thu-ml/DiT-Extrapolation" target="_blank" class="external-link ">
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<span>Code</span>
</a>
</span>
<!-- <br><br>
<div>
<p style="color:black;font-size: 20px; font-weight: bold; color: rgb(25, 100, 201);">
<span style="color: black;">TL;DR:</span> Effortlessly extend your video with just one line of code:
<span style="font-family: 'Courier New', Courier, monospace; color: rgb(248, 151, 6);">freq[k-1]=(2*np.pi)/(L*s).</span>
</p>
</div> -->
</div>
</div>
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body ">
<hr>
<div class="container " id="abstract">
<h2 id="obj-comparison" class="title is-4 has-text-centered">Overview</h2>
<figure class="image is-centered" style="display: flex; justify-content: center; align-items: center;">
<img src="images/overview.png" style="width: 70%; height: auto;">
</figure>
<div class="content has-text-justified" style="font-size: 1.5rem; line-height: 1.8;">
<p style="color:black;">
<br>
<span style="color: rgb(25, 100, 201);font-weight: bold">Motivation:</span>
Despite advances, video diffusion transformers still struggle to generalize beyond their training length.
We identify two failure modes: <span style="font-weight: bold">model-specific periodic content repetition </span> and a <span style="font-weight: bold">universal quality degradation</span>.
Prior works attempt to solve repetition via positional encodings, overlooking quality degradation and achieving only limited extrapolation.
In this paper, we revisit this challenge from a more fundamental view— <span style="font-weight: bold">attention maps</span>,
which directly govern how context influences outputs.
<br>
<br>
<span style="color: rgb(25, 100, 201);font-weight: bold">Analysis:</span>
We identify that both failure modes arise from a unified cause: attention dispersion, where tokens beyond the training window dilute learned attention patterns. This leads to quality degradation and repetition emerges as a special case when this dispersion becomes structured into periodic attention patterns, induced by harmonic properties of positional encodings.
<br>
<br>
<span style="color: rgb(25, 100, 201);font-weight: bold">Method:</span>
Building on this insight, we propose UltraViCo, a training-free, plug-and-play method that suppresses attention for tokens beyond the training window via a constant decay factor. By jointly addressing both failure modes, we outperform a broad set of baselines largely across models and extrapolation ratios, pushing the extrapolation limit from 2× to 4×
</p>
</div>
</div>
<br>
<hr>
<div class="container " id="text2short">
<h2 id="obj-comparison" class="title is-4 has-text-centered">Training-free 3× Extrapolation
</h2>
</div>
<br>
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</div>
<br>
<br>
<div class="container " id="text2long">
<h2 id="obj-comparison" class="title is-4 has-text-centered"> Training-free 4× Extrapolation
</h2>
</div>
<br>
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src="videos/free2/seed42_The Glenfinnan Viaduct is a historic railway bridge in Scotland, UK, that crosses over the west high.mp4"
type="video/mp4">
</video>
<p class="prompt-text">The Glenfinnan Viaduct is a historic railway bridge in Scotland, UK, that crosses over the west highland line between the towns of Mallaig and Fort William. It is a stunning sight as a steam train leaves the bridge, traveling over the arch-covered viaduct. The landscape is dotted with lush greenery and rocky mountains, creating a picturesque backdrop for the train journey. The sky is blue and the sun is shining, making for a beautiful day to explore this majestic spot.
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<p class="prompt-text">At a serene lakeside, an amateur photographer adjusts the settings on his camera, preparing to capture the sunset. He starts by focusing on the distant horizon, snapping several shots. As the sun sinks lower, he moves closer to the water’s edge, crouching down to frame the reflection of the sky in the lake. Finally, standing up, he captures the final moments of daylight, the sky ablaze with color. </p>
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<p class="prompt-text">A man with facial hair, dressed in a plaid shirt, is seated playing an acoustic guitar and singing with visible enjoyment and passion. He is in an indoor setting with a simple gray background, accompanied by a guitar amplifier and a microphone stand to his left, and a stack of "Guitar World" books to his right. The camera maintains a fixed medium shot, capturing his expressive face and hand movements on the guitar strings. The visual quality is clear and unembellished, focusing on the performance without distractions.
</p>
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<br>
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<div class="container " id="text2long">
<h2 id="obj-comparison" class="title is-4 has-text-centered"> 3× Extrapolation of Wan-VACE for Downstream Tasks
</h2>
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<section class="section" id="BibTeX">
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<h2 class="title">BibTeX</h2>
<pre><code>
@article{zhao2025ultravico,
title={UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers},
author={Zhao, Min and Zhu, Hongzhou and Wang, Yingze and Yan, Bokai and Zhang, Jintao and He, Guande and Yang, Ling and Li, Chongxuan and Zhu, Jun},
journal={arXiv preprint arXiv:2511.20123},
year={2025}
}
</code></pre>
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