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<title>Causal-Forcing</title>
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<h4 class="title is-3 publication-title">Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation</h4>
<div class="is-size-6 publication-authors">
<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://gracezhao1997.github.io/">Min Zhao*</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://scholar.google.com/citations?user=dxN1_X0AAAAJ&hl=en&oi=ao">Hang Su</a><sup>1</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>
</div>
<br>
<span class="link-block">
<a href="https://arxiv.org/abs/2602.02214" target="_blank" class="external-link ">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
</a>
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<a href="https://github.com/thu-ml/Causal-Forcing" target="_blank" class="external-link ">
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<h4 class="title is-4" style="color: #3273dc; margin-bottom: 1rem;">TL;DR</h4>
<div class="content has-text-justified" style="font-size: 1.25rem; line-height: 1.6; background-color: #f8f9fa; padding: 1.5rem; border-radius: 8px; border-left: 4px solid #3273dc;">
<p>
<strong>Causal Forcing</strong>
significantly outperforms Self Forcing in both <strong>visual quality and motion dynamics</strong>,
while keeping <strong>the same training budget and inference efficiency</strong>
—enabling real-time, streaming video generation on a single RTX 4090.</p>
</div>
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<!-- ********************************************************************主视频****************************************************************************** -->
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(This webpage contains a lot of videos. We suggest using Chrome for the best experience.)
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<section class="hero is-small">
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<div class="container " id="abstract">
<h2 id="obj-comparison" class="title is-3 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: 85%; height: auto;">
</figure>
<div class="content has-text-justified" style="font-size: 1.5rem; line-height: 1.8;">
<p style="color:black;">
We identify a theoretical flaw in Self Forcing’s training pipeline during ODE initialization: a bidirectional teacher should not be used to supervise an autoregressive student, as this violates frame-level injectivity. Motivated by this analysis, we propose Causal Forcing: we first fine-tune a bidirectional base model into an autoregressive diffusion model, then use it as the teacher for ODE initialization, followed by the same DMD stage as in Self Forcing. Our method significantly outperforms Self Forcing in both visual quality and motion dynamics, while keeping the training budget and inference efficiency unchanged.
</p>
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<h2 id="obj-comparison" class="title is-3 has-text-centered">Comparison to Self Forcing
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<section class="section" id="BibTeX">
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<h2 class="title">BibTeX</h2>
<pre><code>
@article{zhu2026causal,
title={Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation},
author={Zhu, Hongzhou and Zhao, Min and He, Guande and Su, Hang and Li, Chongxuan and Zhu, Jun},
journal={arXiv preprint arXiv:2602.02214},
year={2026}
}
</code></pre>
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var videos = document.querySelectorAll('#results-carousel video');
videos.forEach(function (video) {
var isMobile = /iPhone|iPad|iPod|Android/i.test(navigator.userAgent);
if (!isMobile) {
if (!video.classList.contains('single_image_video')) {
video.setAttribute('autoplay', 'autoplay');
}
} else {
console.log('Autoplay disabled for mobile devices');
}
});
});
</script>
</body>
</html>