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index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Paper Title and Video Demo</title>
<script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
<script id="MathJax-script" async
src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 0;
background-color: #f9f9f9;
text-align: center;
}
.header {
background-color: #e0e0e0;
color: #000;
padding: 20px;
margin: 0;
}
h1 {
font-size: 2.5em;
margin-bottom: 10px;
color: #000;
}
.title-second-line {
display: block;
}
.authors {
font-size: 1.2em;
color: #555;
margin: 10px 0;
}
.school {
font-size: 1.2em;
color: #555;
}
.authors sup {
font-size: 0.8em;
}
.pipeline-section {
margin: 40px 0;
}
.pipeline-section h2 {
font-size: 2em; /* Pipeline 标题字体大小 */
margin-bottom: 20px;
color: #000;
font-weight: bold;
}
.pipeline-img {
width: 80%;
max-width: 800px;
border: 2px solid #ddd;
border-radius: 10px;
}
.pipeline-description {
font-size: 0.9em;
color: #555;
max-width: 800px;
margin: 0 auto;
text-align: justify;
line-height: 1.5;
padding: 10px 0;
}
.video-section {
margin-top: 60px;
}
.main-video-title {
font-size: 2em !important; /* 强制 Video Results 的字体大小为 2em */
margin-bottom: 20px;
color: #000 !important; /* 确保颜色是黑色 */
font-weight: bold;
}
.video-section h2 {
font-size: 1.5em;
color: #8B4513;
margin-bottom: 15px;
}
video {
width: 80%;
max-width: 800px;
border: 2px solid #ddd;
border-radius: 10px;
margin-bottom: 40px;
}
</style>
</head>
<body>
<!-- Paper Title and Authors with Light Gray Background -->
<div class="header">
<h1>CPIG: Controlling the Portrait Image Generation <br class="title-second-line">by Distilling 3D GAN’s Latent Directions</h1>
</div>
<!-- Pipeline Section with Image -->
<div class="pipeline-section">
<h2>Pipeline</h2>
<img class="pipeline-img" src="/CPIG/pipeline.png">
<div class="pipeline-description">
The overview of our method. Given an input image \(I\), CPIG first employs an encoder \(E\) to project the input image to the latent vector \(w_i\), which could be reconstructed by the EG3D. \(\alpha/\beta\) represents the randomly initialized geometry weight or appearance weight. Based on the learnable latent bases \(B_{geo}\)/\(B_{app}\), the geometry/appearance direction module formulates a geometry/appearance semantic direction \(w_g/w_a\) using a linear composition strategy. Note that \(w_g\) or \(w_a\) can be added to \(w_i\) together to ensure the generated images possess the desired attributes expected in \(w_g\) and \(w_a\).
</div>
</div>
<!-- Video Results Title -->
<div class="video-section">
<h2 class="main-video-title">Video Results</h2>
<h2>Multi-view Results</h2>
<video controls>
<source src="/CPIG/video_v61_2.mp4">
Your browser does not support the video tag.
</video>
<h2>Attribute Interpolation Results</h2>
<video controls>
<source src="/CPIG/video_v62_2.mp4">
Your browser does not support the video tag.
</video>
</div>
</body>
</html>