forked from eliahuhorwitz/Academic-project-page-template
-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
274 lines (244 loc) · 13.5 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
<!DOCTYPE html>
<html>
<head>
<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="G-buffer Objaverse">
<meta property="og:title" content="G-buffer Objaverse"/>
<meta property="og:description" content="G-buffer Objaverse: High-Quality Rendering Dataset of Objaverse"/>
<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/tag_image.png" />
<meta property="og:image:width" content="1808"/>
<meta property="og:image:height" content="1014"/>
<meta name="twitter:title" content="G-buffer Objaverse">
<meta name="twitter:description" content="G-buffer Objaverse: High-Quality Rendering Dataset of Objaverse">
<!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X600-->
<meta name="twitter:image" content="static/images/tag_image.png">
<meta name="twitter:card" content="summary_large_image">
<!-- Keywords for your paper to be indexed by-->
<meta name="keywords" content="3D-Rendering-Dataset">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>High-Quality Rendering Dataset of Objaverse</title>
<link rel="icon" type="image/x-icon" href="static/images/favicon.ico">
<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">G-buffer Objaverse: High-Quality Rendering Dataset of Objaverse</h1>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<span class="author-block">
<a href="mailto:[email protected]" target="_blank">Chao Xu</a><sup>1</sup>,</span>
<span class="author-block">
<a href="mailto:[email protected]" target="_blank">Yuan Dong</a><sup>2</sup>,</span>
<span class="author-block">
<a href="mailto:[email protected]" target="_blank">Qi Zuo</a><sup>2</sup>,</span>
<span class="author-block">
<a href="mailto:[email protected]" target="_blank">Junfei Zhang</a><sup>1</sup>,</span>
<span class="author-block">
<a href="mailto:[email protected]" target="_blank">Xiaodan Ye</a><sup>1</sup>,</span>
<span class="author-block">
<a href="mailto:[email protected]" target="_blank">Wenbo Geng</a><sup>3</sup>,</span>
<span class="author-block">
<a href="mailto:[email protected]" target="_blank">Yuxiang Zhang</a><sup>3</sup>,</span>
<span class="author-block">
<a href="https://scholar.google.com.hk/citations?user=aJPO514AAAAJ&hl=zh-CN&oi=ao" target="_blank">Xiaodong Gu</a><sup>2</sup>,</span>
<span class="author-block">
<a href="https://lingtengqiu.github.io/" target="_blank">Lingteng Qiu</a><sup>2</sup>,</span>
<span class="author-block">
<a href="mailto:[email protected]" target="_blank">Zhengyi Zhao</a><sup>2</sup>,</span>
<span class="author-block">
<a href="mailto:[email protected]" target="_blank">Qing Ran</a><sup>1</sup>,</span>
<span class="author-block">
<a href="mailto:[email protected]" target="_blank">Jiayi Jiang</a>,</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=GHOQKCwAAAAJ&hl=zh-CN&oi=ao" target="_blank">Zilong Dong</a>,</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=FJwtMf0AAAAJ&hl=zh-CN" target="_blank">Liefeng Bo</a>
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">Institute for Intelligent Computing, Alibaba Group</span>
<span class="eql-cntrb"><small><br><sup>1</sup>TIDE Rendering  </small></span>
<span class="eql-cntrb" style="white-space: nowrap;"><small><sup>2</sup>3D Object Annotation and Generation </small></span>
<span class="eql-cntrb"><small><sup>3</sup>Simulation Platform</small></span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- <!– Arxiv PDF link –>-->
<!-- <span class="link-block">-->
<!-- <a href="https://arxiv.org/pdf/<ARXIV PAPER ID>.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>Paper</span>-->
<!-- </a>-->
<!-- </span>-->
<!-- Video link -->
<span class="link-block">
<a href="https://www.youtube.com/watch?v=m8xYTNbguLQ" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-youtube"></i>
</span>
<span>Youtube</span>
</a>
</span>
<!-- Github link -->
<span class="link-block">
<a href="https://huggingface.co/datasets/3DAIGC/Objaverse-HQ-Rendering" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-desktop"></i>
</span>
<span>Download</span>
</a>
</span>
<!-- ArXiv abstract Link -->
<!-- <span class="link-block">-->
<!-- <a href="https://arxiv.org/abs/<ARXIV PAPER ID>" 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">
<div class="hero-body">
<video poster="" id="tree" autoplay controls muted loop height="100%">
<!-- Your video here -->
<source src="static/videos/teaser.mp4"
type="video/mp4">
</video>
<h2 class="subtitle has-text-centered">
Samples of the dataset. From top to bottom, there are the RGB, Albedo, Normal and Depth images.
</h2>
</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">Introduction</h2>
<div class="content has-text-justified">
<p>
G-buffer Objaverse is rendered using the <a href="https://developer.aliyun.com/article/784784?spm=a2c6h.14164896.0.0.d7c247c5q1Pb9G&scm=20140722.S_community@@%E6%96%87%E7%AB%A0@@784784._.ID_784784-RL_tidejs-LOC_search~UND~community~UND~item-OR_ser-V_3-P0_0" target="_blank" style="color: rgb(47, 141, 255);">TIDE </a> renderer on Objaverse with A10 for about 2000 GPU hours, yielding 30,000,000 images of Albedo, RGB, Depth, and Normal map. We proposed a rendering framework for high quality and high speed dataset rendering. The framework is a hybrid of rasterization and path tracing, the first ray-scene intersection is obtained by hardware rasterization and accurate indirect lighting by full hardware path tracing. Additionally, we using adaptive sampling, denoiser and path-guiding to further speed up the rendering time. In this rendering framework, we render 38 views of a centered object, including 24 views at elevation range from 5° to 30°, rotation = {r × 15° | r ∈ [0, 23]}, and 12 views at elevation from -5° to 5°, rotation = {r × 30° | r ∈ [0, 11]}, and 2 views for top and bottom respectively. In addition, we mannuly split the subset of the objaverse dataset into 10 general categories including Human-Shape (41559), Animals (28882), Daily-Used (220227), Furnitures (19285), Buildings&&Outdoor (116548), Transportations (20075), Plants (7195), Food (5314), Electronics (13252) and Poor-quality (107005).
</p>
<img src="static/images/intro.png" alt="MY ALT TEXT"/>
</div>
</div>
</div>
</div>
</section>
<!-- End paper abstract -->
<!-- Youtube video -->
<section class="hero is-small">
<div class="hero-body">
<div class="container is-max-desktop">
<!-- Paper video. -->
<h2 class="title is-3">Video</h2>
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<div class="publication-video">
<!-- Youtube embed code here -->
<iframe src="https://www.youtube.com/embed/m8xYTNbguLQ" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- End youtube video -->
<!-- Image carousel -->
<section class="hero is-small">
<div class="hero-body">
<div class="container is-max-desktop">
<h2 class="title is-3">Application</h2>
<div class="item">
<!-- Your image here -->
<!-- <img src="static/images/application.png" alt="MY ALT TEXT"/>-->
<h2 class="content has-text-justified">
We have used G-buffer Objaverse for training MultiView Normal-Depth diffusion model (<a href="https://github.com/modelscope/normal-depth-diffusion/" style="color: rgb(47, 141, 255);" target="_blank">ND-MV</a>) and depth-condition MultiView Albedo diffusion model (<a href="https://github.com/modelscope/normal-depth-diffusion/" style="color: rgb(47, 141, 255);" target="_blank">Albedo-MV</a>), which are employed for 3D object generation through score-distillation sampling (SDS) in <a href="https://aigc3d.github.io/richdreamer/" style="color: rgb(47, 141, 255);" target="_blank">RichDreamer </a> .
</h2>
<img src="static/images/application.png" alt="MY ALT TEXT"/>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<!--BibTex citation -->
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@article{qiu2023richdreamer,
title={RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D},
author={Lingteng Qiu and Guanying Chen and Xiaodong Gu and Qi zuo and Mutian Xu and Yushuang Wu and Weihao Yuan and Zilong Dong and Liefeng Bo and Xiaoguang Han},
year={2023},
journal = {arXiv preprint arXiv:2311.16918}
}
</code></pre>
<pre><code>@article{objaverse,
title={Objaverse: A Universe of Annotated 3D Objects},
author={Matt Deitke and Dustin Schwenk and Jordi Salvador and Luca Weihs and
Oscar Michel and Eli VanderBilt and Ludwig Schmidt and
Kiana Ehsani and Aniruddha Kembhavi and Ali Farhadi},
journal={arXiv preprint arXiv:2212.08051},
year={2022}
}
</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 page was built using the <a href="https://github.com/eliahuhorwitz/Academic-project-page-template" target="_blank">Template</a> which was adopted from the <a href="https://nerfies.github.io" target="_blank">Nerfies</a> project page.
</p>
</div>
</div>
</div>
</div>
</footer>
<!-- Statcounter tracking code -->
<!-- You can add a tracker to track page visits by creating an account at statcounter.com -->
<!-- End of Statcounter Code -->
</body>
</html>