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	<meta name="description" content="ϕ-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation — Reichman University Canvas-Lab"/>

	<title>ϕ-Noise: Training-Free Temporal Video Conditioning</title>

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	<!-- ════════════════════════════════════════
	NAVIGATION
	════════════════════════════════════════ -->
	<nav id="navbar">
	<a href="#abstract">Abstract</a>
	<a href="#project-video">Video</a>
	<a href="#applications">Applications</a>
	<a href="#overview">Method</a>
	<a href="#comparisons">Comparisons</a>
	<a href="#bibtex">BibTeX</a>
	</nav>


	<!-- ════════════════════════════════════════
	HERO
	════════════════════════════════════════ -->
	<section id="hero">

	<div class="venue-badge">Preprint · 2026</div>

	<h1 style="text-align: center;">
	<span class="phi">ϕ</span>-Noise:<br>
	Training-Free Temporal Video Conditioning<br>via Phase-Based Noise Manipulation
	</h1>

	<div class="authors">
	<span class="author"><a href="https://ofir1080.github.io/personal-webpage/">Ofir Abramovich</a><sup>*</sup></span>
	<span class="author"><a href="https://nadavc220.github.io/">Nadav Z. Cohen</a><sup>*</sup></span>
	<span class="author"><a href="https://www.linkedin.com/in/adi-rosenthal-24a3291aa/">Adi Rosenthal</a><sup>*</sup></span>
	<span class="author"><a href="https://faculty.runi.ac.il/arik/site/index.html">Ariel Shamir</a></span>
	</div>

	<div class="affiliations">
	Canvas-Lab  ·  Department of Computer Science, Reichman University
	</div>

	<div class="equal-contrib">* Equal Contribution</div>

	<div class="ctas">
	<a class="btn btn-outline" href="http://arxiv.org/abs/2605.24509" target="_blank" rel="noopener noreferrer">
	<img style="width: 40px; height: 30px"; class="site-icon" src="static/icons/arxiv.png" alt="arXiv logo" />
	arXiv
	</a>
	<a class="btn btn-outline" href="http://arxiv.org/pdf/2605.24509" target="_blank" rel="noopener noreferrer">
	<img style="width: 20px; height: 20px"; class="site-icon" src="static/icons/pdf.png" alt="PDF logo" />
	PDF
	</a>
	<a class="btn btn-outline" href="https://huggingface.co/ofirab/phi-noise" target="_blank" rel="noopener noreferrer">
	<img style="width: 30px; height: 30px"; class="site-icon" src="static/icons/huggingface.png" alt="Hugging Face logo" />
	Hugging Face
	</a>
	<a class="btn btn-outline" href="https://github.com/ofir1080/phi-noise" target="_blank" rel="noopener noreferrer">
	<img style="width: 20px; height: 20px"; class="site-icon" src="static/icons/github.png" alt="GitHub logo" />
	Code
	</a>
	<!-- <a class="btn btn-outline" href="#">
	<i class="fas fa-database"></i> Dataset
	</a> -->
	</div>
	</section><!-- /hero -->

	<!-- ════════════════════════════════════════
	TEASER VIDEO
	════════════════════════════════════════ -->

	<div id="teaser">
	<p class="subtitle text-center muted-strong" style="text-align: center;">
	Simple, zero-training video motion control through<br>frequency-domain phase injection into diffusion noise latents.
	<br><br>
	<div style="text-align: center;">
	<img src="static/media/teaser.gif" type="image/gif" style="display: block; margin: 0 auto;">
	</div>
	<!-- <video autoplay muted loop playsinline class="responsive-video"> -->
	<!-- </video> -->
	</p>
	</div><!-- /teaser -->

	<!-- New Video Gallery -->
	<section id="project-video">
	<div class="container project-video-container">
	<!-- <h2>Project Video</h2>
	<p class="muted-small">A short project teaser demonstrating ϕ-Noise in action.</p> -->

	<video controls playsinline preload="metadata" poster="static/media/repr_frame.png" class="project-video">
	<source src="static/media/phi_noise_vid.mp4" type="video/mp4">
	</video>
	</div>
	</section>

	<!-- ════════════════════════════════════════
	TEASER VIDEO
	════════════════════════════════════════ -->
	<section id="applications">
	<div class="method-figure">
	<h2>Applications</h2>
	<div class="teaser-row">
	<div class="teaser-item">
	<h3>I2V Motion Transfer</h3>
	<img src="static/media/results/i2v.gif" class="image/gif">
	</div>

	<div class="teaser-item">
	<h3>Motion Transfer (+ Structure Conditioning)</h3>
	<img src="static/media/results/t2v.gif" class="image/gif">
	</div>

	<div class="teaser-item">
	<h3>Cut & Drag</h3>
	<img src="static/media/results/cnd.gif" class="image/gif">
	</div>

	</div><!-- /teaser-row -->
	</div><!-- /method-figure -->
	</section>

	<section id="abstract">
	<div class="method-figure">
	<!-- <article id="abstract" class="overview-card overview-abstract"> -->
	<h2>Abstract</h2>
	<p class="abstract-text">
	Latent video diffusion models generate videos by progressively transforming Gaussian noise
	into realistic samples conditioned on text or visual inputs. However, existing conditioning
	methods often require additional training and computational overhead. Motivated by recent
	findings on the importance of frequency components in generative models, we propose a
	simple, training-free approach for motion-conditioned video generation by injecting
	low-frequency phase information from a reference video directly into the diffusion noise latents.
	</p>
	<p class="abstract-text">
	Our method transfers motion cues without modifying the model architecture or inference
	pipeline. Using several applications, we demonstrate effective control over both appearance
	and dynamics in generated videos, while achieving competitive or superior results compared
	to more complex conditioning approaches.
	</p>
	<!-- </article> -->
	</section>

	<section id="method">
	<div class="method-figure">
	<h2>How Does It Work?</h2>
	<p>
	ϕ-Noise operates by decomposing both the reference video latent and the Gaussian noise
	latent into the frequency domain via the Discrete Fourier Transform (DFT). The
	low-frequency <em>phase</em> components of the noise — which encode coarse spatial
	structure and dominant temporal dynamics — are replaced with those from the reference.
	A Spectral-Temporal Energy Balancing Mask <strong>Φ</strong> is then applied to preserve
	total signal energy and ensure stable denoising.
	</p>

	<img src="static/teaser_gif.gif" alt="teaser" class="figure-image" />

	<p class="teaser-caption">
	<strong>ϕ-Noise</strong> injects low-frequency phase information from a reference video
	into Gaussian noise latents, enabling training-free motion and structural conditioning
	across diverse video generation tasks — with no changes to the diffusion model.
	</p>
	</div>
	</div>
	</section>


	<!-- ════════════════════════════════════════
	METHOD
	════════════════════════════════════════ -->
	<!-- <section id="method">
	<div class="method-figure">
	<h2>Method</h2>

	<p>
	ϕ-Noise operates by decomposing both the reference video latent and the Gaussian noise
	latent into the frequency domain via the Discrete Fourier Transform (DFT). The
	low-frequency <em>phase</em> components of the noise — which encode coarse spatial
	structure and dominant temporal dynamics — are replaced with those from the reference.
	A Spectral-Temporal Energy Balancing Mask <strong>Φ</strong> is then applied to preserve
	total signal energy and ensure stable denoising.
	</p>

	<div class="method-figure">
	<img src="static/method_v1.png" alt="Method figure" class="figure-image"/>
	<p class="fig-caption">
	<strong>Figure 1.</strong> Method overview. DFT decomposes both reference and noise into
	phase & magnitude. Low-frequency phases from the reference replace those in the noise;
	a spectral energy mask Φ restores stability before the modified noise enters the diffusion model.
	</p>
	</div>
	</div>
	</section>/method -->

	<!-- Method figure image placeholder -->
	<section id="analysis">
	<div class="method-figure">
	<!-- <div class="container"> -->
	<h2>Analysis</h2>
	<h3 class="underlined">Phase Substitution & Energy Balancing</h3>

	<img src="static/analysis.png"
	alt="ϕ-Noise method overview figure"
	class="figure-image"/>
	<p class="fig-caption">
	<strong>Figure 2.</strong> Phase and Energy Analysis — phase distributions, latent energy
	evolution across denoising steps, and qualitative comparison with/without energy balancing.
	</p>

	<p>
	Naïve phase injection disrupts the expected energy profile of the noise, causing saturation
	artifacts and out-of-distribution denoising. ϕ-Noise applies a frequency-dependent scaling
	mask <strong>Φ</strong> that scales down injected low-frequency magnitudes by
	<code>1/γ</code> while compensating by scaling high frequencies by <code>β</code>,
	guaranteeing exact energy preservation: <em>E(z̃<sub>k</sub> ⊙ Φ) = E(z̃)</em>.
	</p>
	<p>
	Because the DFT and its inverse are computationally negligible relative to a single
	diffusion step, ϕ-Noise introduces <strong>no additional runtime or memory overhead</strong>
	and requires no changes to the model architecture or inference pipeline.
	</p>
	<!-- </div> -->
	</div>
	</section><!-- /method -->


	<!-- ════════════════════════════════════════
	COMPARISONS (tabbed)
	════════════════════════════════════════ -->
	<section id="comparisons">
	<div class="method-figure">
	<h2>Comparisons</h2>
	<p>
	ϕ-Noise supports three distinct video generation tasks within a single unified framework,
	all using <strong>WAN (Wan2.2-14B)</strong> as the base model with no additional training.<br>
	</p>
	<span class="text-red">Choose a task from the tabs below.</span>

	<!-- Tab bar -->
	<div class="tab-bar">
	<button class="tab-btn" data-tab="t2v">
	<i class="fas fa-text-width"></i>  T2V Motion Transfer
	</button>
	<button class="tab-btn" data-tab="i2v">
	<i class="fas fa-image"></i>  I2V Motion Transfer
	</button>
	<button class="tab-btn" data-tab="cnd">
	<i class="fas fa-cut"></i>  Cut & Drag
	</button>
	</div>

	<!-- ── TAB: T2V ── -->
	<div class="tab-panel" data-panel="t2v">
	<p>
	Given a reference video and a text prompt, generate a video matching the prompt
	while preserving input motion dynamics. Spatial ϕ-Noise achieves strong alignment
	with both textual content and motion patterns.
	</p>

	<!-- Example 1 -->
	<div class="comparison-row cols-4">
	<div class="video-cell">
	<span class="cell-label label-ref">Reference</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/climbing/matched_original.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label label-ours">Ours</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/climbing/matched_ours.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">DMT</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/climbing/matched_dtm.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">DiTFlow</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/climbing/matched_ditflow.webm"></video>
	</div>
	</div>
	<p class="prompt-tag"><strong>Prompt:</strong> "A monkey is climbing a climbing wall."</p>

	<!-- Example 2 -->
	<div class="comparison-row cols-4">
	<div class="video-cell">
	<span class="cell-label label-ref">Reference</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/car/matched_original.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label label-ours">Ours</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/car/matched_ours.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">DMT</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/car/matched_dtm.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">DiTFlow</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/car/matched_ditflow.webm"></video>
	</div>
	</div>
	<p class="prompt-tag"><strong>Prompt:</strong> "A motorcycle is driving on the road."</p>

	<!-- Example 4 -->
	<div class="comparison-row cols-4">
	<div class="video-cell">
	<span class="cell-label label-ref">Reference</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/dog_jump/matched_original_dog_jump.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label label-ours">Ours</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/dog_jump/matched_ours_dog_jump.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">DMT</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/dog_jump/matched_dmt_dog_jump.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">DiTFlow</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/motion_transfer/dog_jump/matched_ditflow_dog_jump.webm"></video>
	</div>
	</div>
	<p class="prompt-tag"><strong>Prompt:</strong> "A dolphin is jumping in the air into the water."</p>

	</div><!-- /tab t2v -->


	<!-- ── TAB: I2V ── -->
	<div class="tab-panel" data-panel="i2v">
	<p>
	Align with both a text prompt and a first-frame image condition while following the
	motion of the reference video. ϕ-Noise successfully transfers motion across varying
	subjects and handles complex dynamics while preserving identity coherence.
	</p>

	<!-- Example 1 -->
	<div class="comparison-row cols-4">
	<div class="video-cell">
	<span class="cell-label label-ref">Reference</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/backflip/matched_original_backflip.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label label-ours">Ours</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/backflip/matched_ours_backflip.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">MotionClone</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/backflip/matched_mc_backflip.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">Wan</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/backflip/matched_wan_backflip.webm"></video>
	</div>
	</div>
	<p class="prompt-tag"><strong>Prompt:</strong> "The person is performing a backflip."</p>

	<!-- Example 2 -->
	<div class="comparison-row cols-4">
	<div class="video-cell">
	<span class="cell-label label-ref">Reference</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/labubu/matched_original_labubu.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label label-ours">Ours</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/labubu/matched_aa_ours_labubu.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">MotionClone</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/labubu/matched_mc_labubu.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">Wan</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/labubu/matched_wan_labubu.webm"></video>
	</div>
	</div>
	<p class="prompt-tag"><strong>Prompt:</strong> "A motorcycle is driving on the road."</p>

	<!-- Example 3 -->
	<div class="comparison-row cols-4">
	<div class="video-cell">
	<span class="cell-label label-ref">Reference</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/fly/matched_original.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label label-ours">Ours</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/fly/matched_ours.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">MotionClone</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/fly/matched_mc.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">Wan</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/fly/matched_wan.webm"></video>
	</div>
	</div>
	<p class="prompt-tag"><strong>Prompt:</strong> "The person is sitting, and then suddenly flies magically."</p>

	<!-- Example 4 -->
	<div class="comparison-row cols-4">
	<div class="video-cell">
	<span class="cell-label label-ref">Reference</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/fish/matched_source_svd_Fish.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label label-ours">Ours</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/fish/matched_ours_Fish.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">MotionClone</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/fish/matched_mc_Fish.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">Wan</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/i2v_motion_transfer/fish/matched_wan_Fish.webm"></video>
	</div>
	</div>
	<p class="prompt-tag"><strong>Prompt:</strong> "The shark is swimming in the ocean."</p>


	</div><!-- /tab i2v -->


	<!-- ── TAB: Cut & Drag ── -->
	<div class="tab-panel" data-panel="cnd">
	<p>
	Users cut object patches from an image or add sprites, then animate them with rigid
	drag paths. ϕ-Noise generates coherent videos following prescribed motion while
	producing plausible non-rigid dynamics (e.g., fire breath, tentacle movement).
	</p>

	<!-- Example 1 -->
	<div class="comparison-row cols-4">
	<div class="video-cell">
	<span class="cell-label label-ref">Input</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/humburger/matched_original_Humburger.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label label-ours">Ours</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/humburger/matched_ours_Hamburger.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">Time-to-Move</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/humburger/matched_ttm_Hamburger.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">Go-with-the-Flow</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/humburger/matched_gwtf_Hamburger.webm"></video>
	</div>
	</div>


	<!-- Example 2 -->
	<div class="comparison-row cols-4">
	<div class="video-cell">
	<span class="cell-label label-ref">Input</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/monkey/matched_original_Monkey.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label label-ours">Ours</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/monkey/matched_ours_Monkey.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">Time-to-Move</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/monkey/matched_ttm_Monkey.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">Go-with-the-Flow</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/monkey/matched_gwtf_Monkey.webm"></video>
	</div>
	</div>

	<!-- Example 3 -->
	<div class="comparison-row cols-4">
	<div class="video-cell">
	<span class="cell-label label-ref">Input</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/birds/matched_original_Birds.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label label-ours">Ours</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/birds/matched_ours_Birds.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">Time-to-Move</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/birds/matched_ttm_Birds.webm"></video>
	</div>
	<div class="video-cell">
	<span class="cell-label">Go-with-the-Flow</span>
	<video muted loop playsinline preload="none" class="comparison-video"><source data-src="static/media/comparisons/cut_n_drag/birds/matched_gwtf_Birds.webm"></video>
	</div>
	</div>
	</div><!-- /tab cnd -->

	</div><!-- /container -->
	</section><!-- /comparisons -->


	<!-- ════════════════════════════════════════
	RESULTS
	════════════════════════════════════════ -->
	<section id="results">
	<div class="method-figure">
	<h2>Quantitative Results</h2>

	<p>
	We evaluate on a diverse benchmark of <strong>60 high-quality videos</strong>: 20 from
	the TTM dataset, 30 from LOVEU-TGVE-2023, and 10 in-the-wild videos for real-world
	generalization. ϕ-Noise achieves competitive or state-of-the-art results at negligible
	additional cost.
	</p>

	<div class="results-table-wrap">
	<table>
	<thead>
	<tr>
	<th>Model</th>
	<th>CLIP-T ↑</th>
	<th>Aes ↑</th>
	<th>Img ↑</th>
	<th>LPIPS-T ↓</th>
	<th>Flow-E ↓</th>
	<th>Subj-C ↑</th>
	<th>Smooth ↑</th>
	<th>Dyn-D ↑</th>
	</tr>
	</thead>
	<tbody>
	<tr>
	<td>Wan-I2V</td>
	<td>0.308</td><td>0.652</td><td>0.644</td>
	<td>0.116</td><td>181.10</td><td>0.942</td><td>0.978</td><td>0.647</td>
	</tr>
	<tr>
	<td>GWTF</td>
	<td>0.314</td><td>0.620</td><td>0.637</td>
	<td>0.097</td><td>152.81</td><td>0.942</td><td>0.981</td><td>0.647</td>
	</tr>
	<tr>
	<td>TTM</td>
	<td>0.311</td><td>0.647</td><td>0.653</td>
	<td>0.110</td><td>102.39</td><td>0.948</td><td>0.978</td><td>0.705</td>
	</tr>
	<tr class="ours">
	<td><strong>Ours (ϕ-Noise)</strong></td>
	<td>0.313</td><td>0.637</td><td>0.627</td>
	<td>0.171</td>
	<td class="best">101.49</td>
	<td>0.918</td><td>0.964</td>
	<td class="best">0.764</td>
	</tr>
	</tbody>
	</table>
	</div>
	<p class="muted-small">
	ϕ-Noise achieves the best <strong>Flow-Error</strong> (motion fidelity) and
	<strong>Dynamics-Degree</strong> scores — the two metrics most directly measuring motion
	transfer quality — while requiring no additional training.
	</p>

	</div>
	</section><!-- /results -->


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	<h2>BibTeX</h2>
	<p>If you find this work useful, please cite:</p>
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	<pre><span class="kw">@article</span>{abramovich2025phinoise,
	<span class="kw">title</span> = {<span class="val">ϕ-Noise: Training-Free Temporal Video Conditioning
	via Phase-Based Noise Manipulation</span>},
	<span class="kw">author</span> = {<span class="val">Abramovich, Ofir and Cohen, Nadav Z. and
	Rosenthal, Adi and Shamir, Ariel</span>},
	<span class="kw">journal</span> = {<span class="val">arXiv preprint</span>},
	<span class="kw">year</span> = {<span class="val">2025</span>},
	}</pre>
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	</section><!-- /bibtex -->


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