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11 12 13 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> 14 <title>Arman Maesumi</title> 15 16 <meta name="author" content="Arman Maesumi"> 17 <meta name="viewport" content="width=device-width, initial-scale=1"> 18 19 <link rel="preconnect" href="https://fonts.googleapis.com"> 20 <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> 21 22 <link href="https://fonts.googleapis.com/css2?family=Playfair+Display:ital,wght@1,500&family=Raleway:wght@300;400&display=swap" rel="stylesheet"> 23 <link href="https://fonts.googleapis.com/css2?family=Playfair+Display:ital@1&display=swap" rel="stylesheet"> 24 <link href='https://fonts.googleapis.com/css?family=Playfair Display' rel='stylesheet'> 25 26 <link rel="stylesheet" type="text/css" href="css/stylesheet.css"> 27 <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css"> 28 <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css"> 29 30 <link rel="icon" type="image/png" href="images/favicon.ico"> 31</head> 32 33<body> 34 <!-- <div style="position: sticky; top: 0; z-index: 1000; background: #ffffffcc; backdrop-filter: blur(6px); border-bottom: 1px solid #eee;"> 35 <div style="max-width:1000px; margin: 0 auto; padding: 10px 0; text-align: center; font-family: 'Raleway', sans-serif;"> 36 <a href="./cv/cv.pdf" style="margin: 0 12px; text-decoration: none; color: inherit;">CV</a> 37 | 38 <a href="#research" style="margin: 0 12px; text-decoration: none; color: inherit;">Research</a> 39 | 40 <a href="#software" style="margin: 0 12px; text-decoration: none; color: inherit;">Software</a> 41 | 42 <a href="#3d" style="margin: 0 12px; text-decoration: none; color: inherit;">Art</a> 43 </div> 44 </div> --> 45 <table style="width:100%;max-width:1000px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody> 46 <tr style="padding:0px"> 47 <td style="padding:0px"> 48 <table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody> 49 <tr style="padding:0px"> 50 <td style="padding:2.5%;width:63%;vertical-align:middle"> 51 52 <p class="banner"> 53 54 <name>Arman Maesumi</name><br> 55 </p> 56 <p style="text-align: center;"> 57 <a href="mailto:[email protected]">[email protected]</a> 58 </p> 59 <p> 60 I am a research scientist at OpenAI working on multimodal generative models. I recieved my PhD in Computer Science from <a href="https://cs.brown.edu/">Brown University</a>, where I was advised by Professor <a href="https://dritchie.github.io/">Daniel Ritchie</a>. My work was supported by the <a href="https://www.nsfgrfp.org/">NSF Graduate Research Fellowship Program</a>. I received my BS in computer science from <a href="https://www.utexas.edu/">The University of Texas at Austin</a> in 2021, where I worked with Professor <a href="https://cs.utexas.edu/~bajaj">Chandrajit Bajaj</a>. In my free time I enjoy creating <a href="./#3d">3D art</a>. 61 </p> 62 <div style="text-align:center;"> 63 <a href="./cv/cv.pdf">CV</a> / <a href="https://scholar.google.com/citations?user=SOJBF1wAAAAJ&hl=en">Google Scholar</a> / <a href="https://github.com/ArmanMaesumi">GitHub</a> / <a href="https://twitter.com/ArmanMaesumi">X</a> 64 </div> 65 </td> 66 <td style="width:40%;max-width:40%"> 67 <!-- <img style="max-width:65%;border-radius:50%;" alt="profile photo" src="images/headshot.png" class="hoverZoomLink"> --> 68 <img style="max-width:65%;border-radius:50%;" alt="profile photo" src="images/headshot2.png" class="hoverZoomLink"> 69 </td> 70 </tr> 71 </tbody></table> 72 73 <!-- <table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody> 74 <tr> 75 <td style="padding:20px;width:100%;vertical-align:middle;padding-bottom: 0px;padding-top: 0px;"> 76 <heading id="projects">News</heading> 77 <p> 78 <table style="width:80%; margin-left: auto;"> 79 <colgroup> 80 <col style="width: 15%;"> 81 <col style="width: auto;"> 82 </colgroup> 83 <tr class="newsRow"> 84 <td class="newsDate">June 2026</td> 85 <td>I will be joining <a href="https://app.reve.com/">Reve</a>
85 as a Research Scientist!</td> 86 </tr> 87 <tr class="newsRow"> 88 <td class="newsDate">Aug 2025</td> 89 <td>One journal paper accepted to SIGGRAPH Asia 2025! ðð°</td> 90 </tr> 91 <tr class="newsRow"> 92 <td class="newsDate">July 2025</td> 93 <td>I just released <a href="./panopti/index.html">Panopti <img src="./images/panopti_logo_black.svg" alt="Panopti favicon" style="height: 1.6em; vertical-align: -0.4em;"></a> - an interactive 3D visualization package for Python!</td> 94 </tr> 95 <tr class="newsRow"> 96 <td class="newsDate">April 2024</td> 97 <td>One journal paper accepted to SIGGRAPH 2024! â°ï¸</td> 98 </tr> 99 <tr class="newsRow"> 100 <td class="newsDate">Aug 2023</td> 101 <td>One paper accepted to SIGGRAPH Asia 2023! ð¦</td> 102 </tr> 103 <tr class="newsRow"> 104 <td class="newsDate">May 2023</td> 105 <td>I am returning to <a href="https://research.adobe.com/">Adobe Research</a> as a Research Scientist Intern</a>.</td> 106 </tr> 107 <tr class="newsRow"> 108 <td class="newsDate">May 2022</td> 109 <td>I'll be joining <a href="https://research.adobe.com/">Adobe Research</a> as a Research Scientist Intern</a>.</td> 110 </tr> 111 <tr class="newsRow"> 112 <td class="newsDate">April 2022</td> 113 <td>I was awarded the NSF Graduate Research Fellowship</a>. 114 <br> 115 Article: <a href="https://cs.brown.edu/news/2022/05/20/five-brown-cs-students-and-alums-receive-nsf-graduate-research-fellowships/">"Five Brown CS Students And Alums Receive NSF Graduate Research Fellowships"</a></td> 116 </tr> 117 <tr class="newsRow"> 118 <td class="newsDate">Sept. 2021</td> 119 <td>Started my PhD at Brown!</td> 120 </tr> 121 </table> 122 </p> 123 </td> 124 </tr> 125 </tbody></table> --> 126 127 <section class="publications-section"> 128 <div class="publications-header"> 129 <heading id="research" class="banner">Publications</heading> 130 <div class="author-note publication-author-note"><sup>*</sup>co-first authors, <sup>†</sup>co-second authors</div> 131 </div> 132 133 <div class="publication-list"> 134 135 <article class="publication-entry"> 136 <div class="publication-media"> 137 <img class="paperThumbnail" src="papers/2026_matern/representative_image.png" alt="Matérn Noise representative image"> 138 </div> 139 <div class="publication-content"> 140 <div class="publication-title"><a href="https://matern-fm.github.io/"><papertitle>Matérn Noise for Triangulation-Agnostic Flow Matching on Meshes</papertitle></a></div> 141 <p class="publication-authors"><a href="https://tianshukuai.github.io/">Tianshu Kuai</a>, <b>Arman Maesumi</b>, <a href="https://dritchie.github.io/">Daniel Ritchie</a>, <a href="https://noamaig.github.io/">Noam Aigerman</a></p> 142 <p class="publication-venue"><em>ACM Transactions on Graphics (Proceedings of SIGGRAPH)</em>, 2026</p> 143 <p class="publication-links">[ <a href="https://matern-fm.github.io/">project page</a> / <a href="https://matern-fm.github.io/static/pdfs/Matern-FM.pdf">pdf (78mb)</a> / <a href="https://arxiv.org/abs/2605.19305">arXiv</a> / <a href="https://github.com/kts707/matern-fm">code</a> / <a href="./papers/2026_matern/matern_bibtex.tex">bibtex</a> ]</p> 144 <p class="publication-summary">Generative modeling on surfaces requires delicate care due to irregular triangulations. We employ Matérn noise (as opposed to iid Gaussian noise) to enable triangulation-agnostic flow matching on meshes.</p> 145 </div> 146 </article> 147 148 <article class="publication-entry"> 149 <div class="publication-media"> 150 <img class="paperThumbnail" src="papers/2025_poissonnet/representative_image.jpg" alt="PoissonNet representative image"> 151 </div> 152 <div class="publication-content"> 153 <div class="publication-title"><a href="./poissonnet/"><papertitle>PoissonNet: A Local-Global Approach for Learning on Surfaces</papertitle></a></div> 154 <p class="publication-authors"><b>Arman Maesumi</b>, <a href="https://tanishmakadia.com/">Tanish Makadia</a>, <a href="https://imagine.enpc.fr/~groueixt/">Thibault Groueix</a>, <a href="http://www.vovakim.com/">Vladimir G. Kim</a>, <a href="https://dritchie.github.io/">Daniel Ritchie</a>, <a href="https://noamaig.github.io/">Noam Aigerman</a></p> 155 <p class="publication-venue"><em>ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia)</em>, 2025</p> 156 <p class="publication-links">[ <a href="./poissonnet/">project page</a> / <a href="./papers/2025_poissonnet/sigg25_poissonnet.pdf">pdf (64mb)</a> / <a href="https://arxiv.org/abs/2510.14146">arXiv</a> / <a href="https://github.com/ArmanMaesumi/poissonnet">code</a> / <a href="./poissonnet/resources/bibtex.txt">bibtex</a> ]</p> 157 <p class="publication-summary">A new neural architecture for learning on surfaces that overcomes several key deficiencies in existing methods. We demonstrate its ability to learn deformations of detailed, high-resolution meshes, as well as semantic segmentation.</p> 158 </div> 159 </article> 160 161 <article class="publication-entry"> 162 <div class="publication-media"> 163 <img class="paperThumbnail" src="onenoise/resources/noise_render.jpg" alt="One Noise representative image"> 164 </div> 165 <div class="publication-content"> 166 <div class="publication-title"><a href="./onenoise/"><papertitle>One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns</papertitle></a></div> 167 <p class="publication-authors"><b>Arman Maesumi</b>, <a href="https://dylan.hu/">Dylan Hu</a><sup class="author-marker">†</sup>, <a href="https://www.krishisaripalli.com/">Krishi Saripalli</a><sup class="author-marker">†</sup>, <a href="http://www.vovakim.com/">Vladimir G. Kim</a>, <a href="https://techmatt.github.io/">Matthew Fisher</a>, <a href="https://storage.googleapis.com/pirk.io/index.html">Sören Pirk</a>, <a href="https://dritchie.github.io/">Daniel Ritchie</a></p> 168 <p class="publication-venue"><em>ACM Transactions on Graphics (Proceedings of SIGGRAPH)</em>, 2024</p> 169 <p class="publication-links">[ <a href="./onenoise/">project page</a> / <a href="./papers/2024_onenoise/sigg24_onenoise.pdf">pdf (34mb)</a> / <a href="https://arxiv.org/abs/2404.16292">arXiv</a> / <a href="https://github.com/ArmanMaesumi/OneNoise">code</a> / <a href="./onenoise/resources/bibtex.txt">bibtex</a> ]</p> 170 <p class="publication-summary">A data augmentation strategy that enables diffusion models to smoothly interpolate between disjoint data modes. We train a diffusion model to blend multiple types of procedural noise patterns, even in the absence of "in-between" training data.</p> 171 </div> 172 </article> 173 174 <article class="publication-entry"> 175 <div class="publication-media"> 176 <img class="paperThumbnail" src="papers/2023_explorable_subspaces/thumb_explore.PNG" alt="Explorable Mesh Deformation Subspaces representative image"> 177 </div> 178 <div class="publication-content"> 179 <div class="publication-title"><a href="./explorable_subspaces/"><papertitle>Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models</papertitle></a></div> 180 <p class="publication-authors"><b>Arman Maesumi</b>, <a href="https://paulguerrero.net/">Paul Guerrero</a>, <a href="http://www.vovakim.com/">Vladimir G. Kim</a>, <a href="https://techmatt.github.io/">Matthew Fisher</a>, <a href="https://www.cse.iitb.ac.in/~sidch/">Siddhartha Chaudhuri</a>, <a href="https://noamaig.github.io/">Noam Aigerman</a>, <a href="https://dritchie.github.io/">Daniel Ritchie</a></p> 181 <p class="publication-venue"><em>SIGGRAPH Asia</em>, 2023 (Conference Track)</p> 182 <p class="publication-links">[ <a href="./explorable_subspaces/">project page</a> / <a href="./papers/2023_explorable_subspaces/explorable_subspaces.pdf">pdf (30mb)</a> / <a href="https://arxiv.org/abs/2310.07814">arXiv</a> / <a href="./explorable_subspaces/resources/bibtex.txt">bibtex</a> ]</p> 183 <p class="publication-summary">What is the smoothest subspace that spans a set of points in latent space? We optimize smooth parametrizations of such subspaces in 3D generative models and use them to explore continuous variations of meshes.</p> 184 </div> 185 </article> 186 187 <!-- 188 <article class="publication-entry"> 189 <div class="publication-media"> 190 <img src="papers/2020_adv/adv_paper.png" alt="Learning Transferable 3D Adversarial Cloaks representative image"> 191 </div> 192 <div class="publication-content"> 193 <div class="publication-title"><a href="https://arxiv.org/pdf/2104.11101.pdf"><papertitle>Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors</papertitle></a></div> 194 <p class="publication-authors"><b>Arman Maesumi<span class="asteriks">*</span></b>, Mingkang Zhu<span class="asteriks">*</span>, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj</p> 195 <p class="publication-venue"><em>arXiv</em>, 2021</p> 196 <p class="publication-links">[ <a href="https://arxiv.org/pdf/2104.11101.pdf">pdf (8mb)</a> / <a href="https://arxiv.org/abs/2104.11101">arXiv</a> / <a href="./papers/2020_adv/bibtex.txt">bibtex</a> ]</p> 197 <p class="publication-summary">3D human meshes are cloaked from object detectors via adversarial texture maps, which are trained using differentiable rendering.</p> 198 </div> 199 </article> 200 --> 201 202 <article class="publication-entry"> 203 <div class="publication-media publication-media-contain"> 204 <img class="paperThumbnail" src="papers/2019_triangle_picking/triangle_logo.png" alt="Triangle Inscribed-Triangle Picking logo"> 205 </div> 206 <div class="publication-content"> 207 <div class="publication-title"><a href="https://doi.org/10.1080/07468342.2019.1669383"><papertitle>Triangle Inscribed-Triangle Picking</papertitle></a></div> 208 <p class="publication-authors"><b>Arman Maesumi</b></p> 209 <p class="publication-venue"><em>The College Mathematics Journal</em>, 2019</p> 210 <p class="publication-links">[ <a href="papers/2019_triangle_picking/Triangle_Inscribed_Triangle_Picking.pdf">pdf (1mb)</a> / <a href="https://doi.org/10.1080/07468342.2019.1669383">journal</a> / <a href="papers/2019_triangle_picking/bibtex.txt">bibtex</a> ]</p> 211 <p class="publication-summary">The probability density function and moments (<a href="https://oeis.org/A279055">OEIS A279055</a>) of the area of stochastically generated inscribed geometry are derived.</p> 212 <p class="publication-summary">Preliminary findings were presented at <a href="http://sections.maa.org/texas/tumc/tumc2017.html">TUMC 2017</a>.</p> 213 </div> 214 </article> 215 </div> 216 </section> 217 218 219 <table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody> 220 <tr> 221 <td style="padding:20px;width:100%;vertical-align:middle;padding-bottom: 0px;"> 222 <heading id="software" class="banner">Software</heading> 223 <!-- <p>I have developed several open source projects both for</p> --> 224 </td> 225 </tr> 226 </tbody></table> 227 <table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody> 228 <tr> 229 <td style="vertical-align:top;padding: 20px;">
230 <img class="paperThumbnail" src="panopti/assets/images/panopti_logo.jpg" width="350" style="border-radius: 3px;"> 231 </td> 232 <td width="75%" valign="middle"> 233 <a href="https://github.com/ArmanMaesumi/panopti"> 234 <papertitle>Panopti: Interactive 3D Visualization in Python</papertitle> 235 </a> 236 <br> 237 [ <a href="https://github.com/ArmanMaesumi/panopti">GitHub</a> / <a href="https://armanmaesumi.github.io/panopti/">Documentation</a> / <a href="https://pypi.org/project/panopti/">PyPI</a> ] 238 </p> 239 <p> 240 A Python package for interactive 3D visualization that seamlessly supports remote development setups (e.g. through SSH) and headless rendering. 241 </p> 242 <br> 243 </td> 244 </tr> 245 </table> 246 247 <table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody> 248 <tr> 249 <td style="vertical-align:top;padding: 20px;"> 250 <img class="paperThumbnail" src="images/torch_mesh_ops_logo.png" width="350" style="border-radius: 3px;"> 251 </td> 252 <td width="75%" valign="middle"> 253 <a href="https://github.com/ArmanMaesumi/torch_mesh_ops"> 254 <papertitle>Torch Mesh Ops: PyTorch CUDA extension for discrete differential operators</papertitle> 255 </a> 256 <br> 257 [ <a href="https://github.com/ArmanMaesumi/torch_mesh_ops">GitHub</a> ] 258 </p> 259 <p> 260 CUDA kernels that accelerate construction of discrete differential operators on meshes, very useful e.g. when used in a training loop for geometric problems. 261 </p> 262 <br> 263 </td> 264 </tr> 265 </table> 266 267 <table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody> 268 <tr> 269 <td style="vertical-align:top;padding: 20px;"> 270 <img class="paperThumbnail" src="images/torchrbf_logo.png" width="350" style="border-radius: 3px;"> 271 </td> 272 <td width="75%" valign="middle"> 273 <a href="https://github.com/ArmanMaesumi/torchrbf"> 274 <papertitle>torchrbf: Radial Basis Function Interpolation in PyTorch</papertitle> 275 </a> 276 <br> 277 [ <a href="https://github.com/ArmanMaesumi/torchrbf">GitHub</a> / <a href="https://pypi.org/project/torchrbf/">PyPI</a> ] 278 </p> 279 <p> 280 A PyTorch-based RBF Interpolator that supports auto-diff and is much faster than SciPy's CPU implementation. 281 </p> 282 <br> 283 </td> 284 </tr> 285 </table> 286 287 288 <table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody> 289 <tr> 290 <td style="padding:20px;width:100%;vertical-align:middle"> 291 <heading id="3d">Renderings</heading> 292 <p>In my free time, I enjoy creating 3D renderings and physical simulations using various software. More can be found <a href="https://www.behance.net/armanmaesumi">here</a>. The programs and tools that I use include: Blender, Cinema 4D, RealFlow, Vray, Octane, Arnold, Krakatoa, and more.</p> 293 </td> 294 </tr> 295 </tbody></table> 296 297 <div class="artRow"> 298 <div class="artColumn"> 299 <video class="art" src="/renders/rotating_caustic.mp4" autoplay muted style="width: 100%;"></video> 300 </div> 301 302 <div class="artColumn"> 303 <div class="artRow"> 304 <a href="https://www.behance.net/gallery/146723237/Envelopes-of-light" target="_blank" rel="noopener noreferrer"><img class="art" src="renders/envelopes.jpg" style="width:100%"></a> 305 </div> 306 </div> 307 </div> 308 309 <div class="artRow"> 310 <div class="artColumn"> 311 <a href="https://www.behance.net/gallery/150466509/Chromatic-Undulations" target="_blank" rel="noopener noreferrer"><img class="art" src="renders/chromatic1.jpeg" style="width:100%"></a> 312 </div> 313 <div class="artColumn"> 314 <a href="https://www.behance.net/gallery/150466509/Chromatic-Undulations" target="_blank" rel="noopener noreferrer"><img class="art" src="renders/chromatic2.jpeg" style="width:100%"></a> 315 </div> 316 <div class="artColumn"> 317 <a href="https://www.behance.net/gallery/150466509/Chromatic-Undulations" target="_blank" rel="noopener noreferrer"><img class="art" src="renders/chromatic3.jpeg" style="width:100%"></a> 318 </div> 319 </div> 320 <div class="artRow"> 321 <div class="artColumn"> 322 <a href="https://www.behance.net/gallery/135757275/Artifacts" target="_blank" rel="noopener noreferrer"><img class="art" src="renders/fractal.jpg" style="width:100%"></a> 323 </div> 324 <div class="artColumn"> 325 <video class="art" src="/renders/infinite_chess.mp4" autoplay muted style="width: 100%;"></video> 326 </div> 327 </div> 328 329 <div class="artRow"> 330 <div class="artColumn"> 331 <video class="art" src="/renders/rotating_caustic2.mp4" autoplay muted style="width: 100%;"></video> 332 </div> 333 <div class="artColumn"> 334 <div class="artRow"> 335 <div class="artColumn"> 336 <a href="https://www.behance.net/gallery/143966925/Dispersion" target="_blank" rel="noopener noreferrer"><img class="art" src="renders/dispersion1.jpeg" style="width:100%"></a> 337 </div> 338 <div class="artColumn"> 339 <a href="https://www.behance.net/gallery/143966925/Dispersion" target="_blank" rel="noopener noreferrer"><img class="art" src="renders/dispersion2.jpeg" style="width:100%"></a> 340 </div> 341 </div> 342 <div class="artRow"> 343 <div class="artColumn"> 344 <a href="https://www.behance.net/gallery/143966925/Dispersion" target="_blank" rel="noopener noreferrer"><img class="art" src="renders/dispersion3.jpeg" style="width:100%"></a> 345 </div> 346 <div class="artColumn"> 347 <a href="https://www.behance.net/gallery/144264773/Fizz" target="_blank" rel="noopener noreferrer"><img class="art" src="renders/cup_closeup.jpeg" style="width:100%"></a> 348 </div> 349 </div> 350 351 </div> 352 </div> 353 <p style="text-align: center;"><a href="https://www.behance.net/armanmaesumi">Click to see more</a></p> 354
355<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20"> 356 <tbody><tr> <td> <br> 357 <p align="right"><font size="2"> 358 <a href="https://www.cs.berkeley.edu/~barron/">Template</a> 359 </td> </tr> </tbody> 360 </table> 361 </tbody></table> 362</body> 363
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Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.