collaborative-streaming/index.html at master · hmfann/collaborative-streaming · GitHub

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
<!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="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>Streaming-Aware Neural Monte Carlo Rendering Framework with Unified Denoising-Compression and Client Collaboration</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-3 publication-title">Streaming-Aware Neural Monte Carlo Rendering Framework with Unified Denoising-Compression and Client Collaboration</h1>
            <div class="is-size-5 publication-authors">
              <!-- Paper authors -->
              <span class="author-block">
                <a href="https://hmfann.github.io" target="_blank">Hangming Fan</a><sup>1</sup>,</span>
                <span class="author-block">
                  <a href="http://www.cad.zju.edu.cn/home/huo/" target="_blank">Yuchi Huo</a><sup>1</sup>,</span>
                  <span class="author-block">
                    <a href="http://ckzheng.world/" target="_blank">Chuankun Zheng</a><sup>1</sup>,</span>
                    <span class="author-block">
                      <a href="https://chonghao.carbene.cc/" target="_blank">Chonghao Hu</a><sup>1</sup>,</span>
                      <span class="author-block">
                        <a href="https://yuanyazhen.github.io/" target="_blank">Yazhen Yuan</a><sup>2</sup>,</span>
                        <span class="author-block">
                          <a href="http://www.cad.zju.edu.cn/home/rwang/" target="_blank">Rui Wang</a><sup>1</sup>
                        </span>
                        </div>

                  <div class="is-size-6 publication-authors">
                    <span class="author-block"><sup>1</sup>State Key Laboratory of CAD&CG, Zhejiang University, China. <sup>2</sup>Game Engine Department, CROS, Tencent, China.<br>ACM Transactions on Graphics (SIGGRAPH 2025)</span>
<!--                     <span class="eql-cntrb"><small><br><sup>*</sup>Indicates Equal Contribution</small></span> -->
                  </div>

                  <div class="column has-text-centered">
                    <div class="publication-links">
                         <!-- Arxiv PDF link -->
                      <span class="link-block">
                        <a href="https://dl.acm.org/doi/pdf/10.1145/3730879" 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="https://dl.acm.org/doi/suppl/10.1145/3730879/suppl_file/supplementary.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/Rendering-at-ZJU/Cloud-End-Collaboration-MC-Rendering" 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>

                <!-- Video Link -->
                <span class="link-block">
                  <a href="https://dl.acm.org/doi/suppl/10.1145/3730879/suppl_file/video.mp4" target="_blank"
                  class="external-link button is-normal is-rounded is-dark">
                  <span class="icon">
                    <i class="fas fa-video"></i>
                  </span>
                  <span>Video</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/banner_video.mp4" -->
<!--         type="video/mp4"> -->
<!--       </video> -->
      <img src="static/images/teaser.jpg" alt="MY ALT TEXT"/>
      <h2 class="subtitle has-text-centered">
<!--         Aliquam vitae elit ullamcorper tellus egestas pellentesque. Ut lacus tellus, maximus vel lectus at, placerat pretium mi. Maecenas dignissim tincidunt vestibulum. Sed consequat hendrerit nisl ut maximus.  -->
      </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">Abstract</h2>
        <div class="content has-text-justified">
          <p>
            Recent advances in cloud rendering have brought us a promising alternative for interactive photorealistic rendering on lightweight devices, which used to be only available on high-end platforms equipped with powerful graphic cards. This technique enables users to perform rendering-related creative tasks, such as 3D product visualization and lighting design, from the comfort of any location using handheld devices, rather than being confined to the front of a noisy heat-generating workstation. However, existing largescale cloud rendering systems that stream path-traced frames from the server to the client present extremely high rendering costs and transmission bandwidth requirements, even with advanced path-tracing acceleration and video compression techniques. To alleviate these problems, we propose a novel streaming-aware rendering framework that is able to learn a joint optimal model integrating two path-tracing acceleration techniques (adaptive sampling and denoising) and video compression technique. Our joint model can fully exploit the inherent connections between these techniques and thus achieve substantially reduced rendering costs and enhanced compression quality.We also introduce the collaboration of client rendering ability to assist the frame decoding by rendering G-buffers as the shared side information. We demonstrate that appropriately incorporating the geometry and material priors from G-buffers into a neural compression pipeline can significantly reduce the streaming bandwidth in a cloud rendering system, and lighten the compression module design for computation efficiency. Our experiments show that our method delivers the best quality at various bitrates compared to existing Monte Carlo rendering streaming schemes, while remaining lightweight and efficient for cross-platform thin clients, including mobiles and tablets.
          </p>
        </div>
      </div>
    </div>
  </div>
</section>
<!-- End paper abstract -->


<!-- Youtube video -->
<section class="hero is-small is-light">
  <div class="hero-body">
    <div class="container">
      <!-- Paper video. -->
      <h2 class="title is-3">Video Presentation</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/watch?v=-PZy5XdzAsw" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
          </div>
        </div>
      </div>
    </div>
  </div>
</section>
<!-- End youtube video -->


<!--BibTex citation -->
  <section class="section" id="BibTeX">
    <div class="container is-max-desktop content">
      <h2 class="title">BibTeX</h2>
      <pre><code>@article{10.1145/3730879,
author = {Fan, Hangming and Huo, Yuchi and Zheng, Chuankun and Hu, Chonghao and Yuan, Yazhen and Wang, Rui},
title = {Streaming-Aware Neural Monte Carlo Rendering Framework with Unified Denoising-Compression and Client Collaboration},
year = {2025},
issue_date = {August 2025},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {44},
number = {4},
issn = {0730-0301},
url = {https://doi.org/10.1145/3730879},
doi = {10.1145/3730879},
journal = {ACM Trans. Graph.},
month = jul,
articleno = {164},
numpages = {13}
}

</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 -->

  </body>
  </html>