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https://hellojxt.github.io/DiffSound/

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1<!DOCTYPE html>
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5  <title>DiffSound</title>
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129  <div class="all-wrap">
130    <h1 class="title">DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference Tasks
131    </h1>
132    <h1 class="subheader">SIGGRAPH 2024</h1>
133    <div>
134      <h1 class="affiliation" style="margin-right: 20px;">Xutong Jin*<sup>1</sup></h1>
135      <h1 class="affiliation" style="margin-right: 20px;">Chenxi Xu*<sup>1</sup></h1>
136      <h1 class="affiliation" style="margin-right: 20px;">Ruohan Gao<sup>2</sup></h1>
137      <h1 class="affiliation" style="margin-right: 20px;">Jiajun Wu<sup>3</sup></h1>
138      <h1 class="affiliation" style="margin-right: 20px;">Guoping Wang<sup>1</sup></h1>
139      <h1 class="affiliation" style="margin-right: 20px;"><a
140          href="http://www.graphics.pku.edu.cn/members/lisheng/index.htm"> Sheng Li**</a> <sup>1</sup></h1>
141    </div>
142
143    <div style="margin-top: 0.4vw;margin-bottom: 1vw;">
144      <h1 class="affiliation" style="margin-right: 40px"><sup>1</sup>Peking University</h1>
145      <h1 class="affiliation" style="margin-right: 40px"><sup>2</sup>University of Maryland, College Park </h1>
146      <h1 class="affiliation"><sup>3</sup>Stanford University</h1>
147    </div>
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149    <div style="margin-top: 0.4vw;margin-bottom: 1vw;">
150
151      <h1 class="affiliation" style="margin-right: 40px"><sup>*</sup>Equal contributions</h1>
152      <h1 class="affiliation"><sup>**</sup>Corresponding author</h1>
153
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159      <span class="center"><img class="teaser" src="images/teaser.png"></span>
160    </div>
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162    <div class="container-row">
163      <div class="icon-img-container">
164        <a href="./Paper.pdf">
165          <img src="./images/paper.png" alt="paper" class="icon-img" />
166        </a>
167      </div>
168      <div class="icon-img-container">
169        <a href="https://github.com/TechnetiumMan/DiffSound">
170          <img src="./images/github.png" alt="github" class="icon-img" />
171        </a>
172      </div>
173      <div class="icon-img-container">
174        <a
175          href="./DiffSound.mp4">
176          <img src="./images/video.png" alt="github" class="icon-img" />
177        </a>
178      </div>
179    </div>
180
181    <div class="container-row">
182      <div class="icon-text-container">
183        <strong class="icon-text">Paper</strong>
184      </div>
185      <div class="icon-text-container">
186        <strong class="icon-text">Github Code</strong>
187      </div>
188      <div class="icon-text-container">
189        <strong class="icon-text">Supplementary Video</strong>
190      </div>
191    </div>
192
193
194    <div class="container-row">
195      <video loop="" playsinline="" controls="" width="100%">
196        <source
197          src="./DiffSound.mp4"
198          type="video/mp4">
199      </video>
200    </div>
201    <div class="container-row">
202      <video loop="" playsinline="" controls="" width="100%">
203        <source
204          src="./fast-forward.mp4"
205          type="video/mp4">
206      </video>
207    </div>
208
209    <div class="w-container">
210      <h2 class="section-title">Abstract</h2>
211      <p class="long-text">Accurately estimating and simulating the physical properties of objects from real-world sound
212        recordings is of great practical importance in the fields of vision, graphics, and robotics. However, the
213        progress in these directions has been limited---prior differentiable rigid or soft body simulation techniques
214        cannot be directly applied to modal sound synthesis due to the high sampling rate of audio, while previous audio
215        synthesizers often do not fully model the accurate physical properties of the sounding objects. We propose
216        DiffSound, a differentiable sound rendering framework for physics-based modal sound synthesis, which is based on
217        an implicit shape representation, a new high-order finite element analysis module, and a differentiable audio
218        synthesizer. Our framework can solve a wide range of inverse problems thanks to the differentiability of the
219        entire pipeline, including physical parameter estimation, geometric shape reasoning, and impact position
220        prediction. Experimental results demonstrate the effectiveness of our approach, highlighting its ability to
221        accurately reproduce the target sound in a physics-based manner. DiffSound serves as a valuable tool for various
222        sound synthesis and analysis applications.
223      </p>
224    </div>
225    <hr>
226
227    <h2 class="section-title">Bibtex</h2>
228    <div class="grey_container">
229      <div class="bibtex">
230        <pre><code>
231@inproceedings{10.1145/3641519.3657493,
232  author = {Jin, Xutong and Xu, Chenxi and Gao, Ruohan and Wu, Jiajun and Wang, Guoping and Li, Sheng},
233  title = {DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference Tasks},
234  year = {2024},
235  isbn = {9798400705250},
236  publisher = {Association for Computing Machinery},
237  address = {New York, NY, USA},
238  url = {https://doi.org/10.1145/3641519.3657493},
239  doi = {10.1145/3641519.3657493},
240  booktitle = {ACM SIGGRAPH 2024 Conference Papers},
241  articleno = {128},
242  numpages = {12},
243  keywords = {audio, differentiable simulation, modal analysis, sound synthesis, vibration},
244  location = {Denver, CO, USA},
245  series = {SIGGRAPH '24}
246}
247            </code></pre>
248      </div>
249    </div>
250
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