-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathindex.html
More file actions
758 lines (661 loc) · 33.8 KB
/
index.html
File metadata and controls
758 lines (661 loc) · 33.8 KB
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
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<!-- Primary Meta Tags -->
<meta name="title"
content="TabletopGen: Instance-Level Interactive 3D Tabletop Scene Generation from Text or Single Image">
<meta name="description"
content="TabletopGen is a training-free, fully automatic framework that generates diverse, instance-level interactive 3D tabletop scenes from text or a single image via per-instance reconstruction and a two-stage pose and scale alignment approach.">
<meta name="keywords"
content="TabletopGen, 3D tabletop scene generation, interactive 3D scenes, embodied AI, image-to-3D, text-to-3D, pose and scale alignment, simulation, robotics">
<meta name="author"
content="Ziqian Wang, Yonghao He, Licheng Yang, Wei Zou, Hongxuan Ma, Liu Liu, Wei Sui, Yuxin Guo, Hu Su">
<meta name="robots" content="index, follow">
<meta name="language" content="English">
<!-- Open Graph / Facebook -->
<meta property="og:type" content="article">
<meta property="og:site_name" content="D-Robotics AI Lab">
<meta property="og:title"
content="TabletopGen: Instance-Level Interactive 3D Tabletop Scene Generation from Text or Single Image">
<meta property="og:description"
content="TabletopGen is a training-free, fully automatic framework that generates diverse, instance-level interactive 3D tabletop scenes from text or a single image via per-instance reconstruction and a two-stage pose and scale alignment approach.">
<!-- TODO -->
<meta property="og:url" content="https://d-robotics-ai-lab.github.io/TabletopGen">
<meta property="og:image" content="https://d-robotics-ai-lab.github.io/TabletopGen/static/images/share.png">
<meta property="og:image:width" content="1200">
<meta property="og:image:height" content="630">
<meta property="og:image:alt" content="TabletopGen - Research Preview">
<meta property="article:published_time" content="2025-01-01T00:00:00.000Z">
<meta property="article:author" content="Ziqian Wang">
<meta property="article:section" content="Computer Vision, Robotics">
<meta property="article:tag" content="3D Scene Generation">
<meta property="article:tag" content="Embodied AI">
<!-- Twitter -->
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:site" content="@YOUR_TWITTER_HANDLE">
<meta name="twitter:creator" content="@AUTHOR_TWITTER_HANDLE">
<meta name="twitter:title"
content="TabletopGen: Instance-Level Interactive 3D Tabletop Scene Generation from Text or Single Image">
<meta name="twitter:description"
content="TabletopGen is a training-free, fully automatic framework that generates diverse, instance-level interactive 3D tabletop scenes from text or a single image via per-instance reconstruction and a two-stage pose and scale alignment approach.">
<meta name="twitter:image" content="https://d-robotics-ai-lab.github.io/TabletopGen/static/images/share.png">
<meta name="twitter:image:alt" content="TabletopGen - Research Preview">
<!-- Academic/Research Specific -->
<meta name="citation_title"
content="TabletopGen: Instance-Level Interactive 3D Tabletop Scene Generation from Text or Single Image">
<meta name="citation_author" content="Wang, Ziqian">
<meta name="citation_author" content="He, Yonghao">
<meta name="citation_author" content="Yang, Licheng">
<meta name="citation_author" content="Zou, Wei">
<meta name="citation_author" content="Ma, Hongxuan">
<meta name="citation_author" content="Liu, Liu">
<meta name="citation_author" content="Sui, Wei">
<meta name="citation_author" content="Guo, Yuxin">
<meta name="citation_author" content="Su, Hu">
<meta name="citation_publication_date" content="2025">
<meta name="citation_conference_title" content="Preprint">
<meta name="citation_pdf_url"
content="https://d-robotics-ai-lab.github.io/TabletopGen/static/pdfs/TabletopGen.pdf">
<!-- Additional SEO -->
<meta name="theme-color" content="#2563eb">
<meta name="msapplication-TileColor" content="#2563eb">
<meta name="apple-mobile-web-app-capable" content="yes">
<meta name="apple-mobile-web-app-status-bar-style" content="default">
<!-- Preconnect for performance -->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link rel="preconnect" href="https://ajax.googleapis.com">
<link rel="preconnect" href="https://documentcloud.adobe.com">
<link rel="preconnect" href="https://cdn.jsdelivr.net">
<script type="importmap">
{
"imports": {
"three": "https://cdn.jsdelivr.net/npm/three@0.160.0/build/three.module.js",
"three/addons/": "https://cdn.jsdelivr.net/npm/three@0.160.0/examples/jsm/"
}
}
</script>
<title>TabletopGen: Instance-Level Interactive 3D Tabletop Scene Generation from Text or Single Image</title>
<!-- Favicon and App Icons -->
<link rel="icon" type="image/x-icon" href="static/images/favicon.ico">
<link rel="apple-touch-icon" href="static/images/favicon.ico">
<!-- Critical CSS - Load synchronously -->
<link rel="stylesheet" href="static/css/bulma.min.css">
<link rel="stylesheet" href="static/css/index.css">
<!-- Non-critical CSS - Load asynchronously -->
<link rel="preload" href="static/css/bulma-carousel.min.css" as="style"
onload="this.onload=null;this.rel='stylesheet'">
<link rel="preload" href="static/css/bulma-slider.min.css" as="style" onload="this.onload=null;this.rel='stylesheet'">
<link rel="preload" href="static/css/fontawesome.all.min.css" as="style"
onload="this.onload=null;this.rel='stylesheet'">
<link rel="preload" href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css" as="style"
onload="this.onload=null;this.rel='stylesheet'">
<noscript>
<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">
</noscript>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap" rel="stylesheet">
<script defer src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script defer src="https://documentcloud.adobe.com/view-sdk/main.js"></script>
<script defer src="static/js/fontawesome.all.min.js"></script>
<script defer src="static/js/bulma-carousel.min.js"></script>
<script defer src="static/js/bulma-slider.min.js"></script>
<script defer src="static/js/index.js"></script>
<!-- Structured Data for Academic Papers -->
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "ScholarlyArticle",
"headline": "TabletopGen: Instance-Level Interactive 3D Tabletop Scene Generation from Text or Single Image",
"description": "TabletopGen is a training-free, fully automatic framework that generates diverse, instance-level interactive 3D tabletop scenes from text or a single image via per-instance reconstruction and a two-stage pose and scale alignment approach.",
"author": [
{ "@type": "Person", "name": "Ziqian Wang", "affiliation": { "@type": "Organization", "name": "University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences" }},
{ "@type": "Person", "name": "Yonghao He", "affiliation": { "@type": "Organization", "name": "D-Robotics" }},
{ "@type": "Person", "name": "Licheng Yang", "affiliation": { "@type": "Organization", "name": "University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences" }},
{ "@type": "Person", "name": "Wei Zou", "affiliation": { "@type": "Organization", "name": "University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences" }},
{ "@type": "Person", "name": "Hongxuan Ma", "affiliation": { "@type": "Organization", "name": "Institute of Automation, Chinese Academy of Sciences" }},
{ "@type": "Person", "name": "Liu Liu", "affiliation": { "@type": "Organization", "name": "Horizon Robotics" }},
{ "@type": "Person", "name": "Wei Sui", "affiliation": { "@type": "Organization", "name": "D-Robotics" }},
{ "@type": "Person", "name": "Yuxin Guo", "affiliation": { "@type": "Organization", "name": "University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences" }},
{ "@type": "Person", "name": "Hu Su", "affiliation": { "@type": "Organization", "name": "Institute of Automation, Chinese Academy of Sciences" }}
],
"datePublished": "2025-11-27",
"publisher": {
"@type": "Organization",
"name": "Preprint"
},
"url": "https://d-robotics-ai-lab.github.io/TabletopGen",
"image": "https://d-robotics-ai-lab.github.io/TabletopGen/static/images/share.png",
"keywords": ["TabletopGen", "3D tabletop scene generation", "interactive simulation", "embodied AI", "image-to-3D"],
"abstract": "Generating high-fidelity, physically interactive 3D simulated tabletop scenes is essential for embodied AI—especially for robotic manipulation policy learning and data synthesis. However, current text- or image-driven 3D scene generation methods mainly focus on large-scale scenes, struggling to capture the high-density layouts and complex spatial relations that characterize tabletop scenes. To address these challenges, we propose TabletopGen, a training-free, fully automatic framework that generates diverse, instance-level interactive 3D tabletop scenes from either text or a single image by combining per-instance reconstruction with a two-stage pose and scale alignment approach.",
"isAccessibleForFree": true,
"license": "https://creativecommons.org/licenses/by/4.0/",
"mainEntity": {
"@type": "WebPage",
"@id": "https://d-robotics-ai-lab.github.io/TabletopGen"
},
"about": [
{ "@type": "Thing", "name": "3D scene generation" },
{ "@type": "Thing", "name": "Embodied AI" }
]
}
</script>
<!-- Website/Organization Structured Data -->
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "D-Robotics AI Lab",
"url": "https://github.com/D-Robotics-AI-Lab",
"logo": "https://d-robotics-ai-lab.github.io/TabletopGen/static/images/favicon.ico",
"sameAs": [
"https://twitter.com/YOUR_TWITTER_HANDLE",
"https://github.com/D-Robotics-AI-Lab"
]
}
</script>
<style>
/* Force the scene selection carousel to display 4 thumbnails by setting the width of each item to 25% */
/* .item within .carousel-container (usually generated by JS) */
.scene-selection-container .carousel .item {
width: 25% !important;
}
</style>
<script defer src="https://cloud.umami.is/script.js" data-website-id="a9edb153-da59-4819-9163-c627af03d481"></script>
</head>
<body>
<!-- Scroll to Top Button -->
<button class="scroll-to-top" onclick="scrollToTop()" title="Scroll to top" aria-label="Scroll to top">
<i class="fas fa-chevron-up"></i>
</button>
<!-- More Works Dropdown -->
<!-- <div class="more-works-container">
<button class="more-works-btn" onclick="toggleMoreWorks()" title="View More Works from Our Lab">
<i class="fas fa-flask"></i>
More Works
<i class="fas fa-chevron-down dropdown-arrow"></i>
</button>
<div class="more-works-dropdown" id="moreWorksDropdown">
<div class="dropdown-header">
<h4>More Works from Our Lab</h4>
<button class="close-btn" onclick="toggleMoreWorks()">
<i class="fas fa-times"></i>
</button>
</div>
<div class="works-list">
<a href="https://arxiv.org/abs/PAPER_ID_1" class="work-item" target="_blank">
<div class="work-info">
<h5>Paper Title 1</h5>
<p>Brief description of the work and its main contribution.</p>
<span class="work-venue">Conference/Journal 2024</span>
</div>
<i class="fas fa-external-link-alt"></i>
</a>
<a href="https://arxiv.org/abs/PAPER_ID_2" class="work-item" target="_blank">
<div class="work-info">
<h5>Paper Title 2</h5>
<p>Brief description of the work and its main contribution.</p>
<span class="work-venue">Conference/Journal 2023</span>
</div>
<i class="fas fa-external-link-alt"></i>
</a>
<a href="https://arxiv.org/abs/PAPER_ID_3" class="work-item" target="_blank">
<div class="work-info">
<h5>Paper Title 3</h5>
<p>Brief description of the work and its main contribution.</p>
<span class="work-venue">Conference/Journal 2023</span>
</div>
<i class="fas fa-external-link-alt"></i>
</a>
</div>
</div>
</div> -->
<main id="main-content">
<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" style="font-size: 35px; font-weight: 800;">
<font color="#FF7F00">Tabletop</font><font color="#9555B5">Gen</font>: Instance-Level Interactive 3D <font color="#FF7F00">Tabletop</font>
Scene <font color="#9555B5">Gen</font>eration from Text or Single Image
</h1>
<div class="is-size-5 publication-authors" style="margin-top: 8px;">
<span class="author-block">
<a onclick="return false">Ziqian Wang</a><sup>1,3,2*</sup>,
</span>
<span class="author-block">
<a href="https://github.com/YonghaoHe" target="_blank">Yonghao He</a><sup>2*†</sup>,
</span>
<span class="author-block">
<a onclick="return false">Licheng Yang</a><sup>1,3</sup>,
</span>
<span class="author-block">
<a onclick="return false">Wei Zou</a><sup>1,3</sup>,
</span>
<span class="author-block">
<a onclick="return false">Hongxuan Ma</a><sup>3</sup>,
</span>
<span class="author-block">
<a onclick="return false">Liu Liu</a><sup>4</sup>,
</span>
<span class="author-block">
<a onclick="return false">Wei Sui</a><sup>2</sup>,
</span>
<span class="author-block">
<a onclick="return false">Yuxin Guo</a><sup>1,3</sup>,
</span>
<span class="author-block">
<a onclick="return false">Hu Su</a><sup>3✉</sup>
</span>
</div>
<div class="is-size-5 publication-authors" style="margin-top: 6px; margin-bottom: 4px;">
<span class="author-block" style="font-size: 15px; line-height: 150%;">
<sup>1</sup>School of Artificial Intelligence, University of Chinese Academy of Sciences <br>
<sup>2</sup>D-Robotics <br>
<sup>3</sup>State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences
<sup>4</sup>Horizon Robotics
</span>
</div>
<!-- Equal contribution、Leader、Corresponding -->
<div style="font-size: 15px; margin-top: 0px;">
<sup>*</sup>Equal contribution
<sup>†</sup>Project Leader
<sup>✉</sup>Corresponding author
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- arXiv -->
<span class="link-block">
<a href="https://arxiv.org/abs/2512.01204" 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>
<!-- Paper PDF-->
<span class="link-block">
<a href="https://arxiv.org/pdf/2512.01204#page=1.06&gsr=0" 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：
<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>
-->
<!-- Code -->
<span class="link-block">
<a href="https://github.com/D-Robotics-AI-Lab/TabletopGen" 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>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Teaser-->
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<center>
<!-- static/images/vodp-all.jpg -->
<img src="static/images/teaser.png" alt="VO-DP" class="blend-img-background center-image"
style="max-width: 100%; height: auto;" loading="lazy">
</center>
<p style="text-align: justify; text-justify: inter-word;">
We present <strong>TabletopGen</strong>, a training-free, fully automatic unified framework that generates
instance-level interactive 3D tabletop scenes. As shown on the left, TabletopGen can generate visually
realistic, detail-rich, plausibly arranged, and collision-free 3D scenes from either text or a single image
input. As shown on the right, our framework can produce a wide variety of tabletop scenes, spanning
different shapes, styles, and functional categories.
</p>
</div>
</div>
</section>
<!-- End teaser-->
<!-- 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 custom-width-95">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p style="text-align: justify; text-justify: inter-word;">
Generating high-fidelity, physically interactive 3D simulated tabletop scenes is essential for embodied
AI—especially for robotic manipulation policy learning and data synthesis. However, current text- or
image-driven 3D scene generation methods mainly focus on large-scale scenes, struggling to capture the
high-density layouts and complex spatial relations that characterize tabletop scenes. To address these
challenges, we propose <strong>TabletopGen</strong>, a training-free, fully automatic framework that
generates diverse, instance-level interactive 3D tabletop scenes. TabletopGen accepts a reference image
as input, which can be synthesized by a text-to-image model to enhance scene diversity. We then perform
instance segmentation and completion on the reference to obtain per-instance images. Each instance is
reconstructed into a 3D model followed by canonical coordinate alignment. The aligned 3D models then
undergo pose and scale estimation before being assembled into a collision-free, simulation-ready
tabletop scene. A key component of our framework is a novel pose and scale alignment approach that
decouples the complex spatial reasoning into two stages: a Differentiable Rotation Optimizer for precise
rotation recovery and a Top-view Spatial Alignment mechanism for robust translation and scale
estimation, enabling accurate 3D reconstruction from 2D reference. Extensive experiments and user
studies show that TabletopGen achieves state-of-the-art performance, markedly surpassing existing
methods in visual fidelity, layout accuracy, and physical plausibility, capable of generating realistic
tabletop scenes with rich stylistic and spatial diversity.
</p>
</div>
</div>
</div>
</div>
</section>
<!-- End paper abstract -->
<!-- Method -->
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<h2 class="title is-3 has-text-centered" style="margin-bottom: 1.2rem;">
Method
</h2>
<center>
<img src="static/images/overview.png" alt="Method Overview" class="blend-img-background center-image"
style="max-width: 100%; height: auto;" loading="lazy">
</center>
<p style="margin-top: 1.2rem; text-align: justify; text-justify: inter-word;">
Our framework accepts either text (which is first converted into a reference image) or a single image.
Starting from the image, we proceed in four stages: (1) <strong>Instance Extraction</strong> performs
category analysis, segmentation, and completion to obtain clean, high-resolution per-instance images. (2)
<strong>Canonical Model Generation</strong> uses Image-to-3D and MLLM-based alignment to create a 3D model
with canonical coordinate system for each instance. (3) Our core <strong>Pose and Scale Alignment</strong>
stage recovers the spatial layout. The <strong>DRO (Differentiable Rotation Optimizer)</strong> estimates
rotation by optimizing a tri-modal loss, while the <strong>TSA (Top-view Spatial Alignment)</strong>
mechanism synthesizes a top-view image and, together with MLLM reasoning, selects an anchor instance via our
RMA-Score to infer each instance’s translation and scale. (4) <strong>3D Scene Assembly</strong> stage
combines all instance models with their poses and scales in a simulator to produce the final collision-free,
interactive 3D tabletop scene.
</p>
</div>
</div>
</section>
<!-- End Method -->
<!-- Interactive Scene Gallery -->
<section class="section hero is-light" style="padding-top: 2rem; padding-bottom: 2rem;">
<div class="container" style="max-width: 1200px; margin: 0 auto;">
<h2 class="title is-3 has-text-centered" style="margin-bottom: 1.5rem;">Interactive Scene Visualization</h2>
<div class="notification is-info is-light"
style="margin-bottom: 1rem; padding: 0.75rem; font-size: 0.9rem; text-align: center;">
<span class="icon-text" style="margin: 0 10px;">
<span class="icon"><i class="fas fa-mouse-pointer"></i></span>
<span><strong>Click Object</strong>: Show Name</span>
</span>
<span class="icon-text" style="margin: 0 10px;">
<span class="icon"><i class="fas fa-sync-alt"></i></span>
<span><strong>Left Drag</strong>: Rotate</span>
</span>
<span class="icon-text" style="margin: 0 10px;">
<span class="icon"><i class="fas fa-search-plus"></i></span>
<span><strong>Scroll</strong>: Zoom</span>
</span>
<span class="icon-text" style="margin: 0 10px;">
<span class="icon"><i class="fas fa-arrows-alt"></i></span>
<span><strong>Right Drag</strong> (or Ctrl+Left): Pan</span>
</span>
</div>
<p style="text-align:center; font-size: 0.8rem; color:#888; margin-top: -0.5rem; margin-bottom: 1rem;">
For smoother web visualization, we reduced the texture resolution of the models. Each scene may take about 10–20 seconds to load (depending on your network speed, possibly longer), so please be patient.
</p>
<div class="columns is-centered is-variable is-3">
<div class="column is-4">
<div class="box" style="padding: 0; height: 500px; display: flex; flex-direction: column; overflow: hidden;">
<div style="background: #f5f5f5; padding: 8px; text-align: center; border-bottom: 1px solid #eee;">
<h6 class="title is-6" style="margin:0;">Input Image</h6>
</div>
<figure class="image"
style="flex: 1; display: flex; align-items: center; justify-content: center; padding: 10px; background: #fafafa;">
<img id="ref-image" src="" alt="Image" style="max-height: 100%; max-width: 100%; object-fit: contain;">
</figure>
</div>
</div>
<div class="column is-8">
<div class="box" style="padding: 0; height: 500px; display: flex; flex-direction: column; overflow: hidden;">
<div id="viewer3d" style="flex: 1; position: relative; background: #f0f0f0; width: 100%; height: 100%;">
<div id="loader-text"
style="position:absolute; top:50%; left:50%; transform:translate(-50%, -50%); color:#666; font-weight:600; z-index: 5;">
Loading...</div>
<div id="scene-id-overlay"
style="position: absolute; top: 10px; left: 10px; background: rgba(0,0,0,0.6); color: white; padding: 4px 10px; border-radius: 4px; font-size: 0.8rem; pointer-events: none; z-index: 10;">
Scene 1
</div>
</div>
</div>
</div>
</div>
<div style="max-width: 900px; margin: 1.5rem auto 0 auto; position: relative;">
<h4 class="title is-6 has-text-centered mb-3" style="color: #666;">Select Scene</h4>
<button id="btn-prev" class="nav-btn left-btn">
<i class="fas fa-chevron-left"></i>
</button>
<div class="scene-viewport">
<div id="scene-track" class="scene-track">
</div>
</div>
<button id="btn-next" class="nav-btn right-btn">
<i class="fas fa-chevron-right"></i>
</button>
</div>
</div>
</section>
<style>
.scene-viewport {
overflow: hidden;
width: 100%;
position: relative;
padding: 10px 0;
}
.scene-track {
display: flex;
transition: transform 0.4s ease-in-out;
width: 100%;
}
.scene-card {
flex: 0 0 16.6666%;
max-width: 16.6666%;
padding: 0 8px;
cursor: pointer;
box-sizing: border-box;
}
.scene-card-inner {
border: 2px solid transparent;
border-radius: 8px;
overflow: hidden;
aspect-ratio: 1 / 1;
background: #f5f5f5;
box-shadow: 0 2px 6px rgba(0, 0, 0, 0.15);
transition: all 0.2s;
opacity: 0.7;
display: flex;
align-items: center;
justify-content: center;
}
.scene-card:hover .scene-card-inner {
opacity: 1;
transform: translateY(-3px);
}
.scene-card.is-active .scene-card-inner {
border-color: #3273dc;
opacity: 1;
box-shadow: 0 0 0 3px rgba(50, 115, 220, 0.25);
}
.scene-card img {
max-width: 100%;
max-height: 100%;
object-fit: contain;
}
.nav-btn {
position: absolute;
top: 50%;
transform: translateY(-50%);
margin-top: 15px;
background: white;
border: 1px solid #ddd;
border-radius: 50%;
width: 36px;
height: 36px;
cursor: pointer;
z-index: 10;
box-shadow: 0 2px 6px rgba(0, 0, 0, 0.1);
display: flex;
align-items: center;
justify-content: center;
color: #555;
transition: background 0.2s;
}
.nav-btn:hover {
background: #f0f0f0;
color: #000;
}
.left-btn {
left: -50px;
}
.right-btn {
right: -50px;
}
.nav-btn.disabled {
opacity: 0.3;
cursor: not-allowed;
}
</style>
<!-- End Interactive Scene Gallery -->
<!-- Manipulation Task Demo -->
<section class="hero">
<div class="hero-body">
<div class="container has-text-centered">
<h2 class="title is-3">Manipulation Task Demo</h2>
<div id="task-carousel" class="carousel results-carousel" style="padding-top: 0px; width: 80%; margin: 0 auto;">
<div class="item item-task1">
<video poster="" id="task1" controls muted loop height="100%" preload="metadata">
<source src="static/videos/task1.mp4" type="video/mp4">
</video>
</div>
<div class="item item-task2">
<video poster="" id="task2" controls muted loop height="100%" preload="metadata">
<source src="static/videos/task2.mp4" type="video/mp4">
</video>
</div>
</div>
</div>
</div>
</section>
<!-- End Manipulation Task Demo -->
<!-- Community Section -->
<section class="section" id="Community" style="background-color: #f8fafc;">
<div class="container is-max-desktop content">
<h2 class="title">Community</h2>
<div class="columns is-centered">
<div class="column has-text-centered">
<figure class="image is-inline-block" style="max-width: 180px;">
<img src="static/images/wechat_qrcode.png" alt="WeChat QR Code">
</figure>
<p>
Scan to connect on WeChat and join our community for updates and discussions with the authors.
</p>
</div>
</div>
</div>
</section>
<!-- End Community Section -->
<!--BibTex citation -->
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<div class="bibtex-header">
<h2 class="title">BibTeX</h2>
<button class="copy-bibtex-btn" onclick="copyBibTeX()" title="Copy BibTeX to clipboard">
<i class="fas fa-copy"></i>
<span class="copy-text">Copy</span>
</button>
</div>
<pre id="bibtex-code"><code>@article{wang2025tabletopgen,
title={TabletopGen: Instance-Level Interactive 3D Tabletop Scene Generation from Text or Single Image},
author={Wang, Ziqian and He, Yonghao and Yang, Licheng and Zou, Wei and Ma, Hongxuan and Liu, Liu and Sui, Wei and Guo, Yuxin and Su, Hu},
journal={arXiv preprint arXiv:2512.01204},
year={2025}
}</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.
You are free to borrow the source code of this website, we just ask that you link back to this page in
the footer. <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>.
</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 -->
<script>
// 显式初始化所有轮播组件，确保箭头功能正常
document.addEventListener('DOMContentLoaded', function () {
if (typeof bulmaCarousel !== 'undefined') {
// 初始化场景选择轮播
bulmaCarousel.attach('#scene-selection-carousel', {
slidesToScroll: 1,
slidesVisible: 4, // 建议设置，虽然主要依赖 CSS
loop: true,
pagination: false,
navigation: true
});
// 初始化其他轮播（如任务和结果轮播）以确保兼容性
bulmaCarousel.attach('#task-carousel', {
slidesToScroll: 1,
slidesVisible: 1,
loop: true,
pagination: false,
navigation: true
});
bulmaCarousel.attach('#results-carousel', {
slidesToScroll: 1,
slidesVisible: 3, // 保持默认或其他合理值
loop: true,
pagination: true,
navigation: true
});
} else {
console.error('bulmaCarousel is not defined. Carousel functionality will not work.');
}
});
</script>
<script type="module" src="static/js/scene_gallery.js"></script>
</body>
</html>