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<!DOCTYPE html>
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<title>TransLight: Image-Guided Customized Lighting Control with Generative Decoupling</title>
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<section class="hero">
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<h1 class="title is-1 publication-title">TransLight: Image-Guided Customized Lighting Control with Generative Decoupling</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
Zongming Li</a><sup>1 2</sup>,</span>
<span class="author-block">
Lianghui Zhu</a><sup>1</sup>,</span>
<span class="author-block">
Haochen Sheng</a><sup>2</sup>,
</span>
<span class="author-block">
Longjin Ran</a><sup>2</sup>,
</span>
<span class="author-block">
Wenyu Liu</a><sup>1</sup>,
</span>
<span class="author-block">
Xinggang Wang</a><sup>1</sup>,
</span>
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block"><sup>1</sup>School of Electronic Information and Communications, Huazhong University of Science and Technology,</span>
<span class="author-block"><sup>2</sup>vivo Mobile Communication Co., Ltd,</span>
</div>
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<div class="publication-links">
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class="external-link button is-normal is-rounded is-dark">
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<span>Paper</span>
</a>
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<a href="https://arxiv.org/abs/2508.14814"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
</a>
</span>
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</section>
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<video id="teaser" autoplay muted loop playsinline height="100%">
<source src="./static/videos/TransLight_demo.mp4"
type="video/mp4">
</video>
<h2 class="subtitle has-text-centered">
<span class="dnerf">T</span>ransfer light effect from a reference image to a user input image.
</h2>
</div>
</div>
</section>
<!-- <section class="hero is-light is-small">
<div class="hero-body">
<div class="container">
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<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
Most existing illumination-editing methods struggle to jointly offer customized lighting control and preserve content integrity, limiting their effectiveness especially in transferring complex light effects from a reference to a target image in portrait photography.
To address this problem, we propose TransLight, a novel framework that enables high-fidelity and high-freedom transfer of geometric-structured light effects such as Tyndall beams and specular highlights.
Extracting light effects from the reference image is the most critical and challenging step, as real-world lighting contains complex geometric structures tightly coupled with image content.
To achieve this, we propose Generative Decoupling, using two fine-tuned diffusion models to accurately separate image content and lighting, and create a new million-scale dataset of image–content–light triplets.
We then adopt IC-Light as the generative model, training it on these triplets with the reference lighting image as an additional conditioning signal. The resulting model enables customized and natural transfer of diverse light effects.
Notably, by fully disentangling light effects from reference images, our generative decoupling strategy gives TransLight highly flexible illumination control.
Experiments show that TransLight successfully transfers geometric-structured lighting effects across diverse images in portrait photography, offering more customized control than existing methods and charting new directions in illumination harmonization and editing.
</p>
</div>
</div>
</div>
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<h2 class="title is-3">Video</h2>
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</section>
<section class="section">
<div class="container is-max-desktop">
<!-- <div class="columns is-centered">
<div class="column">
<div class="content">
<h2 class="title is-3">Visual Effects</h2>
<p>
Using <i>nerfies</i> you can create fun visual effects. This Dolly zoom effect
would be impossible without nerfies since it would require going through a wall.
</p>
<video id="dollyzoom" autoplay controls muted loop playsinline height="100%">
<source src="./static/videos/dollyzoom-stacked.mp4"
type="video/mp4">
</video>
</div>
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<div class="column">
<h2 class="title is-3">Matting</h2>
<div class="columns is-centered">
<div class="column content">
<p>
As a byproduct of our method, we can also solve the matting problem by ignoring
samples that fall outside of a bounding box during rendering.
</p>
<video id="matting-video" controls playsinline height="100%">
<source src="./static/videos/matting.mp4"
type="video/mp4">
</video>
</div>
</div>
</div>
</div> -->
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<div class="column is-full-width">
<h2 class="title is-2">Generative Decoupling</h2>
<div class="content has-text-justified">
<p>
We use two diffusion models to decouple the image content and light effects, which we refer to as generative decoupling.
</p>
</div>
<div class="columns is-centered">
<img src="./static/images/generative_decoupling.jpg"
class="interpolation-image"
alt="Interpolation end reference image."/>
<!-- <p class="is-bold">End Frame</p> -->
</div>
</div>
</div>
<div class="columns is-centered">
<div class="column is-full-width">
<h2 class="title is-4">Visualizations of Generative Decoupling</h2>
<!-- <div class="content has-text-justified">
<p>
We use two diffusion models to decouple the image content and light effects, which we refer to as generative decoupling.
</p>
</div> -->
<div class="columns is-centered">
<img src="./static/images/generative_decoupling_vis.png"
class="interpolation-image"
style="width: 800px; height: auto;"
alt="Interpolation end reference image."/>
<!-- <p class="is-bold">End Frame</p> -->
</div>
<div class="columns is-centered">
<img src="./static/images/generative_decoupling_vis_sup.png"
class="interpolation-image"
style="width: 800px; height: auto;"
alt="Interpolation end reference image."/>
<!-- <p class="is-bold">End Frame</p> -->
</div>
</div>
</div>
<br><br><br><br>
<div class="columns is-centered">
<div class="column is-full-width">
<h2 class="title is-2">TransLight</h2>
<div class="content has-text-justified">
<p>
Overall framwork. (a) We fine-tune two diffusion models initialized with the weights of IC-Light. During training, the input
synthesized image IS is the direct addition result of no light image I and light material image L. (b) This pipeline involves selecting
relevant data using a vision language model, decoupling image content and lighting via light removal and extraction models, and filtering
out poor generation results. (c) Our TransLight training consists of two stages: LoRA fine-tuning for content-preserving lighting editing
and ControlNet training to inject light effects.
</p>
</div>
<div class="columns is-centered">
<img src="./static/images/whole_pipeline.png"
class="interpolation-image"
alt="Interpolation end reference image."/>
<!-- <p class="is-bold">End Frame</p> -->
</div>
</div>
</div>
<br><br><br><br>
<div class="columns is-centered">
<div class="column is-full-width">
<h2 class="title is-2">Triplets</h2>
<div class="content has-text-justified">
<p>
We obtain 1 million triplets using our data construction pipeline. We categorize all triplets in our dataset into nine light-effect types: 1.Light Beam in Tyndall Effect; 2.Dappled Light;
3.Backlighting Effect; 4.Iridescent Halo; 5.Lens Flare; 6.Bright Light Source; 7.Gleaming Water Reflection; 8.Projected
Light Patch; 9.Volumetric Light Rays.
</p>
</div>
<div class="columns is-centered">
<img src="./static/images/light_effect_distribution.png"
class="interpolation-image"
alt="Interpolation end reference image."/>
<!-- <p class="is-bold">End Frame</p> -->
</div>
<div class="columns is-centered">
<img src="./static/images/Data_distribution_category_vis.png"
class="interpolation-image"
alt="Interpolation end reference image."/>
<!-- <p class="is-bold">End Frame</p> -->
</div>
</div>
</div>
<br><br><br><br>
<div class="columns is-centered">
<div class="column is-full-width">
<h2 class="title is-2">Visualizations of TransLight</h2>
<div class="content has-text-justified">
<p>
Our TransLight tackles this challenging task through
generative decoupling. We extract the light effect from the reference image using our fine-tuned model and composite it onto the target
image, enabling flexible control over position and direction for realistic, high-freedom results.
</p>
</div>
<div class="columns is-centered">
<img src="./static/images/first_page_vis.png"
class="interpolation-image"
alt="Interpolation end reference image."/>
<!-- <p class="is-bold">End Frame</p> -->
</div>
<div class="content has-text-justified">
<!-- <p>
Our TransLight tackles this challenging task through
generative decoupling. We extract the light effect from the reference image using our fine-tuned model and composite it onto the target
image, enabling flexible control over position and direction for realistic, high-freedom results.
</p> -->
</div>
<div class="columns is-centered">
<img src="./static/images/TransLight_vis_first_page.png"
class="interpolation-image"
alt="Interpolation end reference image."/>
<!-- <p class="is-bold">End Frame</p> -->
</div>
<div class="columns is-centered">
<img src="./static/images/visualization_comparision.png"
class="interpolation-image"
alt="Interpolation end reference image."/>
<!-- <p class="is-bold">End Frame</p> -->
</div>
</div>
</div>
<!-- </div> -->
<!-- <div class="columns is-centered">
<div class="column is-full-width">
<h2 class="title is-3">Animation</h2>
<h3 class="title is-4">Interpolating states</h3>
<div class="content has-text-justified">
<p>
We can also animate the scene by interpolating the deformation latent codes of two input
frames. Use the slider here to linearly interpolate between the left frame and the right
frame.
</p>
</div>
<div class="columns is-vcentered interpolation-panel">
<div class="column is-3 has-text-centered">
<img src="./static/images/interpolate_start.jpg"
class="interpolation-image"
alt="Interpolate start reference image."/>
<p>Start Frame</p>
</div>
<div class="column interpolation-video-column">
<div id="interpolation-image-wrapper">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider"
step="1" min="0" max="100" value="0" type="range">
</div>
<div class="column is-3 has-text-centered">
<img src="./static/images/interpolate_end.jpg"
class="interpolation-image"
alt="Interpolation end reference image."/>
<p class="is-bold">End Frame</p>
</div>
</div>
<br/>
<h3 class="title is-4">Re-rendering the input video</h3>
<div class="content has-text-justified">
<p>
Using <span class="dnerf">Nerfies</span>, you can re-render a video from a novel
viewpoint such as a stabilized camera by playing back the training deformations.
</p>
</div>
<div class="content has-text-centered">
<video id="replay-video"
controls
muted
preload
playsinline
width="75%">
<source src="./static/videos/replay.mp4"
type="video/mp4">
</video>
</div>
</div>
</div> -->
<!-- <div class="columns is-centered">
<div class="column is-full-width">
<h2 class="title is-3">Related Links</h2>
<div class="content has-text-justified">
<p>
There's a lot of excellent work that was introduced around the same time as ours.
</p>
<p>
<a href="https://arxiv.org/abs/2104.09125">Progressive Encoding for Neural Optimization</a> introduces an idea similar to our windowed position encoding for coarse-to-fine optimization.
</p>
<p>
<a href="https://www.albertpumarola.com/research/D-NeRF/index.html">D-NeRF</a> and <a href="https://gvv.mpi-inf.mpg.de/projects/nonrigid_nerf/">NR-NeRF</a>
both use deformation fields to model non-rigid scenes.
</p>
<p>
Some works model videos with a NeRF by directly modulating the density, such as <a href="https://video-nerf.github.io/">Video-NeRF</a>, <a href="https://www.cs.cornell.edu/~zl548/NSFF/">NSFF</a>, and <a href="https://neural-3d-video.github.io/">DyNeRF</a>
</p>
<p>
There are probably many more by the time you are reading this. Check out <a href="https://dellaert.github.io/NeRF/">Frank Dellart's survey on recent NeRF papers</a>, and <a href="https://github.com/yenchenlin/awesome-NeRF">Yen-Chen Lin's curated list of NeRF papers</a>.
</p>
</div>
</div>
</div> -->
</div>
</section>
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@article{translight,
author = {Li, Zongming and Zhu, Lianghui and Sheng, Haochen and Ran, Longjin and Liu, Wenyu and Wang, Xinggang},
title = {TransLight: Image-Guided Customized Lighting Control with Generative Decoupling},
journal = {ICML},
year = {2026},
}</code></pre>
</div>
</section>
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