-
Notifications
You must be signed in to change notification settings - Fork 4
/
index.html
347 lines (305 loc) · 10.3 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
<script src="http://www.google.com/jsapi" type="text/javascript"></script>
<script type="text/javascript">google.load("jquery", "1.3.2");</script>
<style type="text/css">
body {
font-family: "HelveticaNeue-Light", "Helvetica Neue Light", "Helvetica Neue", Helvetica, Arial, "Lucida Grande", sans-serif;
font-weight:300;
font-size:18px;
margin-left: auto;
margin-right: auto;
width: 1100px;
}
h1 {
font-size:32px;
font-weight:300;
}
.disclaimerbox {
background-color: #eee;
border: 1px solid #eeeeee;
border-radius: 10px ;
-moz-border-radius: 10px ;
-webkit-border-radius: 10px ;
padding: 20px;
}
video.header-vid {
height: 140px;
border: 1px solid black;
border-radius: 10px ;
-moz-border-radius: 10px ;
-webkit-border-radius: 10px ;
}
img.header-img {
height: 140px;
border: 1px solid black;
border-radius: 10px ;
-moz-border-radius: 10px ;
-webkit-border-radius: 10px ;
}
img.rounded {
border: 1px solid #eeeeee;
border-radius: 10px ;
-moz-border-radius: 10px ;
-webkit-border-radius: 10px ;
}
a:link,a:visited
{
color: #1367a7;
text-decoration: none;
}
a:hover {
color: #208799;
}
td.dl-link {
height: 160px;
text-align: center;
font-size: 22px;
}
.layered-paper-big { /* modified from: http://css-tricks.com/snippets/css/layered-paper/ */
box-shadow:
0px 0px 1px 1px rgba(0,0,0,0.35), /* The top layer shadow */
5px 5px 0 0px #fff, /* The second layer */
5px 5px 1px 1px rgba(0,0,0,0.35), /* The second layer shadow */
10px 10px 0 0px #fff, /* The third layer */
10px 10px 1px 1px rgba(0,0,0,0.35), /* The third layer shadow */
15px 15px 0 0px #fff, /* The fourth layer */
15px 15px 1px 1px rgba(0,0,0,0.35), /* The fourth layer shadow */
20px 20px 0 0px #fff, /* The fifth layer */
20px 20px 1px 1px rgba(0,0,0,0.35), /* The fifth layer shadow */
25px 25px 0 0px #fff, /* The fifth layer */
25px 25px 1px 1px rgba(0,0,0,0.35); /* The fifth layer shadow */
margin-left: 10px;
margin-right: 45px;
}
.paper-big { /* modified from: http://css-tricks.com/snippets/css/layered-paper/ */
box-shadow:
0px 0px 1px 1px rgba(0,0,0,0.35); /* The top layer shadow */
margin-left: 10px;
margin-right: 45px;
}
.layered-paper { /* modified from: http://css-tricks.com/snippets/css/layered-paper/ */
box-shadow:
0px 0px 1px 1px rgba(0,0,0,0.35), /* The top layer shadow */
5px 5px 0 0px #fff, /* The second layer */
5px 5px 1px 1px rgba(0,0,0,0.35), /* The second layer shadow */
10px 10px 0 0px #fff, /* The third layer */
10px 10px 1px 1px rgba(0,0,0,0.35); /* The third layer shadow */
margin-top: 5px;
margin-left: 10px;
margin-right: 30px;
margin-bottom: 5px;
}
.vert-cent {
position: relative;
top: 50%;
transform: translateY(-50%);
}
hr
{
border: 0;
height: 1px;
background-image: linear-gradient(to right, rgba(0, 0, 0, 0), rgba(0, 0, 0, 0.75), rgba(0, 0, 0, 0));
}
</style>
<html>
<head>
<title>SALVe</title>
<meta property="og:image" content="Path to my teaser.png"/> <!-- Facebook automatically scrapes this. Go to https://developers.facebook.com/tools/debug/ if you update and want to force Facebook to rescrape. -->
<meta property="og:title" content="Creative and Descriptive Paper Title." />
<meta property="og:description" content="Paper description." />
<!-- Get from Google Analytics -->
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src=""></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-75863369-6');
</script>
</head>
<body>
<br>
<center>
<span style="font-size:40px">SALVe <br> </span>
<span style="font-size:30px">Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas</span>
<span style="font-size:20px"><br>ECCV 2022</span>
<table align=center width=600px>
<table align=center width=600px>
<tr>
<td align=center width=100px>
<center>
<span style="font-size:20px"><a href="https://johnwlambert.github.io/">John Lambert</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:20px">Yuguang Li</span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:20px">Ivaylo Boyadzhiev</span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:20px">Lambert Wixson</span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:20px">Manjunath Narayana</span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:20px">Will Hutchcroft</span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:20px"><a href="https://faculty.cc.gatech.edu/~hays/">James Hays</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:20px"><a href="https://dellaert.github.io/">Frank Dellaert</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:20px"><a href="http://www.singbingkang.com/">Sing Bing Kang</a></span>
</center>
</td>
</tr>
</table>
<table align=center width=250px>
<tr>
<td align=center width=120px>
<center>
<span style="font-size:24px"><a href=''>[Paper]</a></span>
</center>
</td>
<td align=center width=120px>
<center>
<span style="font-size:24px"><a href='https://github.com/zillow/salve'>[GitHub]</a></span><br>
</center>
</td>
</tr>
</table>
</table>
</center>
<center>
<table align=center width=850px>
<tr>
<td width=260px>
<center>
<img class="round" style="width:660px" src="./assets/salve-teaser-figure-1.jpg"/>
</center>
</td>
</tr>
</table>
<table align=center width=850px>
<tr>
<td>
</td>
</tr>
</table>
</center>
<hr>
<table align=center width=850px>
<center><h1>Abstract</h1></center>
<tr>
<td>
We propose a new system for automatic 2D floorplan reconstruction that is enabled by SALVe, our novel pairwise learned alignment verifier. The inputs to our system are sparsely located 360◦ panoramas, whose semantic features (windows, doors, and openings) are inferred and used to hypothesize pairwise room adjacency or overlap. SALVe initializes a pose graph, which is subsequently optimized using <a href="https://github.com/borglab/gtsam">GTSAM</a>. Once the room poses are computed, room layouts are inferred using HorizonNet, and the floorplan is constructed by stitching the most confident layout boundaries. We validate our system qualitatively and quantitatively as well as through ablation studies, showing that it outperforms state-of-the-art SfM systems in completeness by over 200%, without sacrificing accuracy. Our results point to the significance of our work: poses of 81% of panoramas are localized in the first 2 connected components (CCs), and 89% in the first 3 CCs.
</td>
</tr>
</table>
<br>
<hr>
<center><h1>Talk</h1></center>
<p align="center">
<iframe width="660" height="395" src="https://www.youtube.com/embed/WBOVn0LC7dI" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen align="center"></iframe>
</p>
<table align=center width=800px>
<br>
<tr>
<center>
<span style="font-size:28px"><a href=''>[Slides]</a>
</span>
</center>
</tr>
</table>
<hr>
<center><h1>Code</h1></center>
<table align=center width=420px>
<center>
<tr>
<td>
</td>
</tr>
</center>
</table>
<table align=center width=400px>
<tr>
<td align=center width=400px>
<center>
<td><img class="round" style="width:800px" src="./assets/salve_arch_overview.png"/></td>
</center>
</td>
</tr>
</table>
<table align=center width=850px>
<center>
<tr>
<td>
We make our code, pretrained models, and our ModifiedHorizonNet (MHNet) ZInD predictions publicly available.
</td>
</tr>
</center>
</table>
<table align=center width=800px>
<br>
<tr><center>
<span style="font-size:28px"> <a href='https://github.com/zillow/salve'>[GitHub]</a>
</center>
</span>
</table>
<br>
<hr>
<table align=center width=450px>
<center><h1>Paper and Supplementary Material</h1></center>
<tr>
<td><a href=""><img class="layered-paper-big" style="height:175px" src="./assets/salve-paper-thumbnail.png"/></a></td>
<td><span style="font-size:14pt">J. Lambert, Y. Li, I. Boyadzhiev, L. Wixson, M. Narayana, W. Hutchcroft, J. Hays, F. Dellaert, S.B. Kang.<br>
<b>SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas.</b><br>
In European Conference on Computer Vision (ECCV), 2022.<br>
(hosted on <a href="">ArXiv</a>)<br>
<!-- (<a href="./resources/camera-ready.pdf">camera ready</a>)<br> -->
<span style="font-size:4pt"><a href=""><br></a>
</span>
</td>
</tr>
</table>
<br>
<table align=center width=600px>
<tr>
<td><span style="font-size:14pt"><center>
<a href="./assets/bibtex/lambert22eccv_salve.txt">[Bibtex]</a>
</center></td>
</tr>
</table>
<hr>
<br>
<table align=center width=900px>
<tr>
<td width=400px>
<left>
<center><h1>Acknowledgements</h1></center>
Thanks to Phillip Isola and Richard Zhang the <a href="https://github.com/richzhang/webpage-template">page template</a>.
</left>
</td>
</tr>
</table>
<br>
</body>
</html>