-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.html
385 lines (342 loc) · 17.2 KB
/
index.html
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
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
<!DOCTYPE html>
<html>
<head>
<style>
.carousel .item {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 1rem;
width: 100%;
max-width: 2600px; /* 可以根据需要调整最大宽度 */
}
.carousel img {
width: 100%;
height: auto;
max-height: 600px; /* 设置一个合理的最大高度 */
object-fit: contain;
aspect-ratio: 4 / 3; /* 设置图片的宽高比，这里以4:3为例 */
}
</style>
<meta charset="utf-8">
<!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
<!-- Replace the content tag with appropriate information -->
<meta name="description" content="DESCRIPTION META TAG">
<meta property="og:title" content="SOCIAL MEDIA TITLE TAG"/>
<meta property="og:description" content="SOCIAL MEDIA DESCRIPTION TAG TAG"/>
<meta property="og:url" content="URL OF THE WEBSITE"/>
<!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X630-->
<meta property="og:image" content="static/image/your_banner_image.png" />
<meta property="og:image:width" content="1200"/>
<meta property="og:image:height" content="630"/>
<meta name="twitter:title" content="TWITTER BANNER TITLE META TAG">
<meta name="twitter:description" content="TWITTER BANNER DESCRIPTION META TAG">
<!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X600-->
<meta name="twitter:image" content="static/images/your_twitter_banner_image.png">
<meta name="twitter:card" content="summary_large_image">
<!-- Keywords for your paper to be indexed by-->
<meta name="keywords" content="KEYWORDS SHOULD BE PLACED HERE">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration</title>
<link rel="icon" type="image/x-icon" href="static\images\icon.jpg">
<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">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script src="https://documentcloud.adobe.com/view-sdk/main.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">🌆 <b>ProRes:</b> <br>Exploring Degradation-aware Visual <strong>Pro</strong>mpt for Universal Image <strong>Res</strong>toration</h1>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<span class="author-block">
<a href="https://leonmakise.github.io/" target="_blank">Jiaqi Ma</a><sup>1,✢</sup>,</span>
<span class="author-block">
<a href="https://github.com/wondervictor" target="_blank">Tianheng Cheng</a><sup>2,✢</sup>,</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=z-25fk0AAAAJ" target="_blank">Guoli Wang</a><sup>3</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=qNCTLV0AAAAJ" target="_blank">Xinggang Wang</a><sup>2</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=pCY-bikAAAAJ" target="_blank">Qian Zhang</a><sup>3</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=BLKHwNwAAAAJ" target="_blank">Lefei Zhang</a><sup>1,📧</sup>
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">Wuhan University<sup>1</sup><br>Huazhong University of Science & Technology<sup>2</sup><br>Horizon Robotics<sup>3</sup><br><b>Under Peer Review</b></span>
<span class="eql-cntrb"><small><br><sup>✢</sup>: Equal Contribution</small>, <small><sup>📧</sup>: Corresponding Author</small></span>
</div>
<h4 class="title is-4">TL;NR: The First Visual Prompt Based All-in-one Image Restoration Framework</h4>
<div class="column has-text-centered">
<div class="publication-links">
<!-- Arxiv PDF link -->
<!-- <span class="link-block">
<a href="https://arxiv.org/pdf/2306.13653" target="_blank"
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> -->
<!-- Supplementary PDF link -->
<!-- <span class="link-block">
<a href="static/pdfs/supplementary_material.pdf" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Supplementary</span>
</a>
</span> -->
<!-- Github link -->
<span class="link-block">
<a href="https://github.com/leonmakise/ProRes" target="_blank"
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>
<!-- ArXiv abstract Link -->
<span class="link-block">
<a href="https://arxiv.org/pdf/2306.13653" target="_blank"
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>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Teaser video-->
<section class="hero teaser">
<div class="container is-max-desktop">
<h2 class="title is-3">All-in-one Image Restoration</h2>
<div class="hero-body">
<!-- <video poster="" id="tree" autoplay controls muted loop height="100%">
<source src="static/videos/banner_video.mp4"
type="video/mp4">
</video> -->
<div class="item">
<!-- Your image here -->
<img src="figures\intro_figure.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
Conceptual comparison with previous approaches.
</h2>
</div>
</div>
</div>
</section>
<!-- End teaser video -->
<!-- Paper abstract -->
<section class="section hero is-light">
<div class="container is-max-desktop">
<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>
Image restoration aims to reconstruct degraded images, e.g., denoising or deblurring. Existing works focus on designing task-specific methods and there are inadequate attempts at universal methods. However, simply unifying multiple tasks into one universal architecture suffers from uncontrollable and undesired predictions. To address those issues, we explore prompt learning in universal architectures for image restoration tasks. In this paper, we present Degradation-aware Visual Prompts, which encode various types of image degradation, e.g., noise and blur, into unified visual prompts. These degradation-aware prompts provide control over image processing and allow weighted combinations for customized image restoration. We then leverage degradation-aware visual prompts to establish a controllable and universal model for image restoration, called ProRes, which is applicable to an extensive range of image restoration tasks. ProRes leverages the vanilla Vision Transformer (ViT) without any task-specific designs. Furthermore, the pre-trained ProRes can easily adapt to new tasks through efficient prompt tuning with only a few images. Without bells and whistles, ProRes achieves competitive performance compared to task-specific methods and experiments can demonstrate its ability for controllable restoration and adaptation for new tasks.
</p>
</div>
</div>
</div>
</div>
</section>
<!-- End paper abstract -->
<section class="hero teaser">
<div class="container is-max-desktop">
<h2 class="title is-3">Overall Pipeline of ProRes</h2>
<div class="hero-body">
<!-- <video poster="" id="tree" autoplay controls muted loop height="100%">
<source src="static/videos/banner_video.mp4"
type="video/mp4">
</video> -->
<div class="item">
<!-- Your image here -->
<img src="figures\main_figure.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-lefted">
<b>(a) Training ProRes:</b> we add the target visual prompt to the input image and flatten the prompted image into patches. We leverage a vision transformer, i.e., ViT-Large, as the image encoder and adopt a simple pixel decoder to generate the restored image. Then we adopt pixel loss to optimize ProRes. <br>
<b>(b) Prompt Tuning:</b> we freeze the weights of ProRes and randomly initialize the learnable prompts for new tasks or new datasets.
</h2>
</div>
</div>
</div>
</section>
<!-- Image carousel -->
<section class="hero is-small is-light">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Control Ability</h2>
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<h3 class="title is-4">Independent Control</h3>
<!-- Your image here -->
<img src="figures/S1_independent.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
Visualization results processed from images of different corruptions. Compared with the original inputs, the outputs are consistent with the given visual prompts.
</h2>
</div>
<div class="item">
<h3 class="title is-4">Sensitive to Irrelevant Task-specific Prompts</h3>
<!-- Your image here -->
<img src="figures/S2_irrelevant.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
Visualization results processed by different prompts. Compared with the original inputs, the outputs remain unchanged with irrelevant visual prompts.
</h2>
</div>
<div class="item">
<h3 class="title is-4">Tackle Complicated Corruptions</h3>
<!-- Your image here -->
<img src="figures/S3_combine.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
Visualization results processed by ProRes from images of mixed types of degradation, i.e., low-light and rainy. ProRes adopts two visual prompts for low-light enhancement (E) and deraining (D) and combines the two visual prompts by linear weighted sum, i.e., αD + (1 − α)E, to control the restoration process.
</h2>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<!-- Image carousel -->
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Adaptation on New Datasets & Task</h2>
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<h3 class="title is-4">Low-light Enhancement Results</h3>
<!-- Your image here -->
<img src="figures/tuning_fivek.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
Visualization results of ProRes on the FiveK dataset. We adopt two settings, i.e., direct inference and prompt tuning, to evaluate ProRes on the FiveK dataset (a new dataset for low-light enhancement).
</h2>
</div>
<div class="item">
<h3 class="title is-4">Dehazing Results</h3>
<!-- Your image here -->
<img src="figures/tuning_reside.jpg" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
Visualization results of ProRes on the RESIDE-6K dataset via prompt tuning for image dehazing (a new task).
</h2>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<!-- Video carousel -->
<!-- <section class="hero is-small">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Another Carousel</h2>
<div id="results-carousel" class="carousel results-carousel">
<div class="item item-video1">
<video poster="" id="video1" autoplay controls muted loop height="100%">
<source src="static/videos/carousel1.mp4"
type="video/mp4">
</video>
</div>
<div class="item item-video2">
<video poster="" id="video2" autoplay controls muted loop height="100%">
<source src="static/videos/carousel2.mp4"
type="video/mp4">
</video>
</div>
<div class="item item-video3">
<video poster="" id="video3" autoplay controls muted loop height="100%">\
<source src="static/videos/carousel3.mp4"
type="video/mp4">
</video>
</div>
</div>
</div>
</div>
</section> -->
<!-- End video carousel -->
<!-- Paper poster -->
<!-- <section class="hero is-small is-light">
<div class="hero-body">
<div class="container">
<h2 class="title">Poster</h2>
<iframe src="static/pdfs/sample.pdf" width="100%" height="550">
</iframe>
</div>
</div>
</section> -->
<!--End paper poster -->
<!--BibTex citation -->
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@article{ma2023prores,
title={Prores: Exploring degradation-aware visual prompt for universal image restoration},
author={Ma, Jiaqi and Cheng, Tianheng and Wang, Guoli and Zhang, Qian and Wang, Xinggang and Zhang, Lefei},
journal={arXiv preprint arXiv:2306.13653},
year={2023}
}</code></pre>
</div>
</section>
<!--End BibTex citation -->
<footer class="footer">
<div class="container">
<div class="columns is-centered">
<div class="column is-8">
<div class="content">
<p>
This page was built using the <a href="https://github.com/eliahuhorwitz/Academic-project-page-template" target="_blank">Academic Project Page Template</a> which was adopted from the <a href="https://nerfies.github.io" target="_blank">Nerfies</a> project page.
<br> This website is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/" target="_blank">Creative
Commons Attribution-ShareAlike 4.0 International License</a>.
<br> Our code is based on <a href="https://github.com/facebookresearch/mae" target="_blank">MAE</a>, <a href="https://github.com/microsoft/unilm/tree/master/beit" target="_blank">BEiT</a>, <a href="https://github.com/swz30/MIRNet" target="_blank">MIRNet</a>, <a href="https://github.com/swz30/MPRNet" target="_blank">MPRNet</a>, <a href="https://github.com/ZhendongWang6/Uformer" target="_blank">Uformer</a> and <a href="https://github.com/baaivision/Painter/tree/main/Painter" target="_blank">Painter</a>. Thanks for their wonderful work!
</p>
</div>
</div>
</div>
</div>
</footer>
<!-- Statcounter tracking code -->
<!-- Default Statcounter code for ProRes https://leonmakise.github.io/ProRes/
-->
<script type="text/javascript">
var sc_project=13053152;
var sc_invisible=0;
var sc_security="d7d297c9";
var scJsHost = "https://";
document.write("<sc"+"ript type='text/javascript' src='" + scJsHost+
"statcounter.com/counter/counter.js'></"+"script>");
</script>
<noscript><div class="statcounter"><a title="real time web analytics"
href="https://statcounter.com/" target="_blank"><img class="statcounter"
src="https://c.statcounter.com/13053152/0/d7d297c9/0/" alt="real time web
analytics" referrerPolicy="no-referrer-when-downgrade"></a></div></noscript>
<!-- End of Statcounter Code -->
</body>
</html>