Spaces:
Running
Running
File size: 10,451 Bytes
b36a6d5 cca6509 b36a6d5 410b2bc b36a6d5 410b2bc b36a6d5 410b2bc b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 410b2bc b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 410b2bc cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 410b2bc cca6509 b36a6d5 cca6509 410b2bc cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 410b2bc b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 410b2bc cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 cca6509 b36a6d5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 |
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Self-Ensembling Gaussian Splatting for Few-shot Novel View Synthesis</title>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-PYVRSFMDRL"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() {
dataLayer.push(arguments);
}
gtag('js', new Date());
gtag('config', 'G-PYVRSFMDRL');
</script>
<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
rel="stylesheet">
<link rel="stylesheet" href="static/css/bulma.min.css">
<link rel="stylesheet" href="static/css/bulma-carousel.min.css">
<link rel="stylesheet" href="static/css/bulma-slider.min.css">
<link rel="stylesheet" href="static/css/fontawesome.all.min.css">
<link rel="stylesheet"
href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
<link rel="stylesheet" href="static/css/index.css">
<link rel="icon" href="static/images/favicon.png">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script defer src="static/js/fontawesome.all.min.js"></script>
<script src="static/js/bulma-carousel.min.js"></script>
<script src="static/js/bulma-slider.min.js"></script>
<script src="static/js/index.js"></script>
</head>
<body>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://sailor-z.github.io/">Chen Zhao</a><sup>1</sup>,</span>
<span class="author-block">
<a href="https://xuanwangvc.github.io/">Xuan Wang</a><sup>2</sup>,</span>
<span class="author-block">
<a href="https://sites.google.com/view/tong-zhang">Tong Zhang</a><sup>1</sup>,</span>
<span class="author-block">
<a href="https://saqibjaved1.github.io/">Saqib Javed</a><sup>1</sup>,</span>
<span class="author-block">
<a href="https://people.epfl.ch/mathieu.salzmann?lang=en">Mathieu Salzmann</a><sup>13</sup>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block"><sup>1</sup>EPFL-CVLab,</span>
<span class="author-block"><sup>2</sup>Ant Group,</span>
<span class="author-block"><sup>3</sup>Swiss Data Science Center</span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- PDF Link. -->
<span class="link-block">
<a href="https://arxiv.org/pdf/2411.00144v3.pdf"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Paper</span>
</a>
</span>
<!-- <span class="link-block">
<a href="https://arxiv.org/abs/2011.12948"
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> -->
<!-- Video Link. -->
<!-- <span class="link-block">
<a href="https://www.youtube.com/watch?v=MrKrnHhk8IA"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-youtube"></i>
</span>
<span>Video</span>
</a>
</span> -->
<!-- Code Link. -->
<span class="link-block">
<a href="https://github.com/sailor-z/SE-GS"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span>
<!-- Dataset Link. -->
<!-- <span class="link-block">
<a href="https://github.com/google/nerfies/releases/tag/0.1"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="far fa-images"></i>
</span>
<span>Data</span>
</a> -->
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="section">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column is-full-width">
<div class = "has-text-centered">
<h2 class="title is-3">Novel View Synthesis</h2>
</div>
<br>
<div class="column content">
<video id="matting-video" autoplay controls muted loop playsinline height="100%">
<source src="static/videos/nvs_results.mp4"
type="video/mp4">
</video>
</div>
</div>
</div>
</div>
</section>
<section class="section">
<div class="container is-max-desktop">
<!-- Abstract. -->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
<img src="static/images/viz.png"
class=""
alt=""/>
3D Gaussian Splatting (3DGS) has demonstrated remarkable effectiveness for novel view synthesis (NVS). However, the 3DGS model tends to overfit when trained with sparse posed views, limiting its generalization ability to novel views. We alleviate the overfitting problem, presenting a Self-Ensembling Gaussian Splatting (SE-GS) approach. Our method encompasses a Σ-model and a Δ-model. The Σ-model serves as an ensemble of 3DGS models that generates novel-view images during inference. We achieve the self-ensembling by introducing an uncertainty-aware perturbation strategy at the training state. We complement the Σ-model with the Δ-model, which is dynamically perturbed based on the uncertainties of novel-view renderings across different training steps. The perturbation yields diverse 3DGS models without additional training costs.
</p>
</div>
</div>
</div>
<!--/ Abstract. -->
</div>
</section>
<section class="section">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column is-full-width">
<div class = "has-text-centered">
<h2 class="title is-3">Method Overview</h2>
</div>
<br>
<img src="static/images/pipeline.png"
class=""
alt=""/>
The perturbed models are derived from the Δ-model via an uncertainty-aware perturbation strategy. We store images rendered from pseudo views at different training steps in buffers, from which we compute pixel-level uncertainties. We then perturb the Gaussians overlapping the pixels with high uncertainties, as highlighted as red ellipses. Self-ensembling over the perturbed models is achieved by training a Σ-model with a regularization that penalizes the discrepancies of the Σ-model and the perturbed Δ-model. During inference, novel view synthesis is performed using the Σ-model.
</div>
</div>
</section>
<section class="section">
<div class="container is-max-desktop">
<div class="columns is-centered">
<br>
<video id="matting-video" autoplay controls muted loop playsinline style="width: 70%; height: auto;">
<source src="static/videos/uncerntainty.mp4"
type="video/mp4">
</video>
</div>
</section>
<!-- <section class="section">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column is-full-width">
<div class = "has-text-centered">
<h2 class="title is-3">Pseudo-View Renderings</h2>
</div>
<br>
<video id="matting-video" autoplay controls muted loop playsinline height="100%">
<source src="static/videos/fern.mp4"
type="video/mp4">
</video>
</div>
</div>
</section> -->
<section class="section">
<div class="container is-max-desktop">
<div class="columns is-centered">
<br>
<video id="matting-video" autoplay controls muted loop playsinline style="width: 70%; height: auto;">
<source src="static/videos/sigma_model_vs_perturbed_model.mp4"
type="video/mp4">
</video>
</div>
</section>
<!-- <section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@article{park2021nerfies,
author = {Park, Keunhong and Sinha, Utkarsh and Barron, Jonathan T. and Bouaziz, Sofien and Goldman, Dan B and Seitz, Steven M. and Martin-Brualla, Ricardo},
title = {Nerfies: Deformable Neural Radiance Fields},
journal = {ICCV},
year = {2021},
}</code></pre>
</div>
</section> -->
<footer class="footer">
<div class="container">
<div class="content has-text-centered">
<a class="icon-link"
href="https://arxiv.org/pdf/2311.07885.pdf">
<i class="fas fa-file-pdf"></i>
</a>
<a class="icon-link" href="" class="external-link" disabled>
<i class="fab fa-github">https://github.com/SUDO-AI-3D/One2345plus</i>
</a>
</div>
<div class="columns is-centered">
<div class="column is-8">
<div class="content">
<p>
This website is borrowed from <a
href="https://github.com/nerfies/nerfies.github.io">nerfies</a>.
</p>
</div>
</div>
</div>
</div>
</footer>
</body>
</html>
|