-
Notifications
You must be signed in to change notification settings - Fork 2
/
index.html
413 lines (386 loc) · 20.1 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
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="description"
content="Semantify is based on a self-supervised method that utilizes the semantic power of CLIP language-vision model to build a mapping between semantic descriptors to
3DMM model coefficients.">
<meta name="keywords" content="3DMM, CLIP, Semantify">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Semantify: Simplifying the Control of 3D Morphable Models using CLIP</title>
<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/76_adobe_express.svg">
<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">Semantify: Simplifying the Control of 3D Morphable Models using CLIP</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://www.linkedin.com/in/omer-gralnik-723a71196/">Omer Gralnik</a><sup>1</sup>,</span>
<span class="author-block">
<a href="http://niessnerlab.org/members/guy_gafni/profile.html">Guy Gafni</a><sup>2</sup>,</span>
<span class="author-block">
<a href="https://faculty.runi.ac.il/arik/site/index.asp">Ariel Shamir</a><sup>1</sup>,
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block"><sup>1</sup>Reichman University,</span>
<span class="author-block"><sup>2</sup>Technical University of Munich</span>
</div>
<div class="is-size-4 publication-authors">
<strong>ICCV 2023, Paris</strong>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- PDF Link. -->
<span class="link-block">
<a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Gralnik_Semantify_Simplifying_the_Control_of_3D_Morphable_Models_Using_CLIP_ICCV_2023_paper.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/2308.07415"
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>
<!-- Code Link. -->
<span class="link-block">
<a href="https://github.com/Omergral/Semantify"
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>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<img src="./static/images/semantify_teaser.png"
class="teaser-image"
alt="teaser image."/>
<h2 class="subtitle has-text-centered">
<span>Semantify offers a method to create and edit a 3D parametric model using semantically meaningful descriptors.
Semantify is based on a self-supervised method that utilizes the semantic power of CLIP language-vision model to build a mapping between semantic descriptors to
3DMM model coefficients. This can be used in an interactive application defining a slider for each descriptor (a), or to fit a model to an image in a zero shot manner by feeding the image into CLIP and obtaining a vector of semantic scores that can be mapped to shape parameters (b)
</h2>
</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>
We present Semantify: a self-supervised method that utilizes the semantic power of CLIP language-vision foundation model to simplify the control of 3D morphable models.
</p>
<p>
Given a parametric model, training data is created by randomly sampling the model's parameters, creating various shapes and rendering them. The similarity between the output images and a set of word descriptors is calculated in CLIP's latent space.
Our key idea is first to choose a small set of semantically meaningful and disentangled descriptors that characterize the 3DMM, and then learn a non-linear mapping from scores across this set to the parametric coefficients of the given 3DMM. The non-linear mapping is defined by training a neural network without a human-in-the-loop.
</p>
<p>
We present results on numerous 3DMMs: body shape models, face shape and expression models, as well as animal shapes. We demonstrate how our method defines a simple slider interface for intuitive modeling, and show how the mapping can be used to instantly fit a 3D parametric body shape to in-the-wild images.
</p>
</div>
</div>
</div>
<!--/ Abstract. -->
<!-- Paper video. -->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Video</h2>
<div class="publication-video">
<iframe src="https://www.youtube.com/embed/umiDWAPUcL8" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
</div>
</div>
</div>
<!--/ Paper video. -->
<!-- </div>
--> <!-- <br/> -->
<!-- Overview. -->
<div class="columns is-centered has-text-centered" style="margin-top: 20px">
<div class="column is-four-fifths">
<h2 class="title is-3">Method Overview</h2>
<img src="./static/images/method.png"/>
<div class="content has-text-justified" style="padding-top: 15px">
<p>Learning a mapping from Semantic to Parametric space. (a) Given a coefficient vector ξ we create the 3DMM mesh.
The mesh is rendered from several views. Each Rendered image I' is passed into CLIP along with a set of semantic descriptors ℓ.
The difference between each descriptor and the image in CLIP latent space is calculated and stored in the corresponding entry of the similarity vector Ω.
(b) Using a large set of such random pairs of (Ω,ξ), we train a network to learn the mapping from semantic space to parametric space.</p>
</div>
</div>
</div>
</section>
<section class="section">
<div class="container is-max-desktop">
<!-- Animation. -->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Results</h2>
<!-- Interpolating. -->
<h3 class="title is-4">Interpolating states</h3>
<div class="content has-text-justified">
<p>
Here we Visualize a subset of our Semantic change of basis, on some popular 3D Morphable models. Note: this applet is only an illustration and changes one axis at a time. It may take time to load so please wait until all models appear. To fully interact with our Semantic basis, we recommend using our <a href="https://github.com/Omergral/Semantify">code</a>.
</p>
</div>
<div style="text-align: center; font-size: large;"><strong>SMPLX Male</strong> [Pavlakos et al. 2019]</div>
<div class="columns is-vcentered" style="margin-top: 10px">
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Muscular</div>
<div id="interpolation-image-wrapper-muscular">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-muscular"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Long Torso</div>
<div id="interpolation-image-wrapper-long-torso">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-long-torso"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Petite</div>
<div id="interpolation-image-wrapper-petite">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-petite"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<br/>
</div>
<div style="text-align: center; font-size: large;"><strong>FLAME Expression</strong> [Li et al. 2017]</div>
<div class="columns is-vcentered" style="margin-top: 10px">
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Smiling</div>
<div id="interpolation-image-wrapper-smiling">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-smiling"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Open Mouth</div>
<div id="interpolation-image-wrapper-open-mouth">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-open-mouth"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Serious</div>
<div id="interpolation-image-wrapper-serious">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-serious"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<br/>
</div>
<div style="text-align: center; font-size: large;"><strong>SMPL Neutral</strong> [Loper et al. 2015]</div>
<div class="columns is-vcentered" style="margin-top: 10px">
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Fat</div>
<div id="interpolation-image-wrapper-thin">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-thin"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Small</div>
<div id="interpolation-image-wrapper-small">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-small"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Masculine</div>
<div id="interpolation-image-wrapper-masculin">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-masculin"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<br/>
</div>
<div style="text-align: center; font-size: large;"><strong>FLAME Shape</strong> [Li et al. 2017]</div>
<div class="columns is-vcentered" style="margin-top: 10px">
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Fat</div>
<div id="interpolation-image-wrapper-fat">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-fat"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Ears Sticking Out</div>
<div id="interpolation-image-wrapper-ears-out">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-ears-out"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Long Neck</div>
<div id="interpolation-image-wrapper-long-neck">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-long-neck"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<br/>
</div>
<div style="text-align: center; font-size: large;"><strong>SMAL</strong> [Zuffi et al. 2017]</div>
<div class="columns is-vcentered" style="margin-top: 10px">
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Lion</div>
<div id="interpolation-image-wrapper-lion">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-lion"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Cow</div>
<div id="interpolation-image-wrapper-cow">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-cow"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<div class="column columns nested-columns is-vcentered interpolation-panel">
<div class="column interpolation-video-column">
<div style="text-align: center; font-size: large;">Cat</div>
<div id="interpolation-image-wrapper-cat">
Loading...
</div>
<input class="slider is-fullwidth is-large is-info"
id="interpolation-slider-cat"
step="1" min="0" max="100" value="50" type="range">
</div>
</div>
<br/>
<!--/ Interpolating. -->
</div>
</div>
<!--/ Animation. -->
</div>
</section>
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@InProceedings{Gralnik_2023_ICCV,
author = {Gralnik, Omer and Gafni, Guy and Shamir, Ariel},
title = {Semantify: Simplifying the Control of 3D Morphable Models Using CLIP},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2023},
pages = {14554-14564}
}</code></pre>
</div>
</section>
<footer class="footer">
<div class="container">
<div class="columns is-centered">
<div class="column is-8">
<div class="content">
<p>
This website is licensed under a <a rel="license"
href="http://creativecommons.org/licenses/by-sa/4.0/">Creative
Commons Attribution-ShareAlike 4.0 International License</a>.
</p>
<p>
This means you are free to borrow the <a
href="https://github.com/nerfies/nerfies.github.io">source code</a> of this website,
we just ask that you link back to this page in the footer.
Please remember to remove the analytics code included in the header of the website which
you do not want on your website.
</p>
</div>
</div>
</div>
</div>
</footer>
</body>
</html>