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href="https://ommer-lab.com/research/image-and-video-synthesis/">Image and Video Synthesis: Stable Diffusion, VQGAN, V-UNET, Etc.</a></td> 212 </tr> 213 <tr><td><img decoding="async" src="https://ommer-lab.com/wp-content/uploads/2022/09/Explainable-AI.png" width="200px"></td> 214 <td style="vertical-align:middle"><a href="https://ommer-lab.com/research/explainable-ai/">Explainable AI</a></td> 215 </tr> 216 <tr> 217 <td><img decoding="async" src="https://ommer-lab.com/wp-content/uploads/2021/11/dml_teaser.jpg" width="200px"></td> 218 <td style="vertical-align:middle"><a href="https://ommer-lab.com/research/deep-metric-and-representation-learning/">Deep Metric and Representation Learning</a></td> 219 </tr> 220 <tr> 221 <td><img decoding="async" src="https://ommer-lab.com/wp-content/uploads/2021/11/teaser7-e1637156204112.png" width="200px"></td> 222 <td style="vertical-align:middle"><a href="https://ommer-lab.com/research/self-supervised-learning/">Self-Supervised Learning</a></td> 223 </tr> 224 <tr> 225 <td><img decoding="async" src="https://ommer-lab.com/wp-content/uploads/2021/09/first_page3.png" width="200px"></td> 226 <td style="vertical-align:middle"><a href="https://ommer-lab.com/research/behavior-analysis-its-interdisciplinary-applications/">Behavior Analysis & its Interdisciplinary Applications</a></td> 227 </tr> 228 <tr> 229 <td><img decoding="async" src="https://ommer-lab.com/wp-content/uploads/2021/11/morisot_0_25.jpeg" width="200px"></td> 230 <td style="vertical-align:middle"><a href="https://ommer-lab.com/research/computer-vision-in-the-digital-humanities/">Computer Vision in the Digital Humanities</a></td> 231 </tr> 232</tbody></table> 233 </div><!-- .entry-content --> 234 235 236 </div> 237 238</article><!-- #post-36 --> 239 240 241 242 </div><!-- #content .site-content --> 243</div><!-- #primary .content-area --> 244 245 246<div id="secondary" class="widget-area" role="complementary"> 247 <aside id="custom_html-9" class="widget_text widget widget_custom_html"><h3 class="widget-title">News</h3><div class="textwidget custom-html-widget"></div></aside><aside id="custom_html-12" class="widget_text widget widget_custom_html"><div class="textwidget custom-html-widget"><strong><a href="https://www.ai-bay.eu/">Foundation Model Initiative</a></strong> 248<br><br> 249<strong><a href="https://ommer-lab.com/research/latent-diffusion-models/">Stable Diffusion</a></strong> - Advanced image synthesis for all! 250<br> 251<strong><a href="https://ommer-lab.com/research/latent-diffusion-models/press/">Stable Diffusion in the Press</a></strong> 252<br><br> 253<strong><a href="https://ommer-lab.com/openpositions_ommer-lab_munich/">Open PhD and PostDoc Positions</a></strong></div></aside><aside id="custom_html-23" class="widget_text widget widget_custom_html"><h3 class="widget-title">2026</h3><div class="textwidget custom-html-widget"><hr> 254 255<li>5 papers accepted at <em><a href="https://eccv.ecva.net/">ECCVâ26</a></em></li><br> 256 257<li>6 papers accepted at <em><a href="https://cvpr.thecvf.com/">CVPRâ26</a></em></li><br> 258 259<li>2 papers accepted at <em><a href="https://iclr.cc/">ICLRâ26</a></em></li><br> 260 261<li><a href="https://arxiv.org/abs/2407.00783"><em>T-PAMI</em> survey paper</a> on Diffusion Models and Representation Learning</li><br></div></aside><aside id="custom_html-22" class="widget_text widget widget_custom_html"><h3 class="widget-title">2025</h3><div class="textwidget custom-html-widget"><hr> 262 263<li><em><a href="https://neurips.cc/virtual/2025/loc/san-diego/poster/116434">NeurIPSâ25</a></em> paper on open-world motion transfer</li><br> 264 265<li>4 papers accepted at <em><a href="https://iccv.thecvf.com/">ICCVâ25</a></em>:<br> 266⢠<a href="https://compvis.github.io/SCFlow/">SCFlow</a>: Implicitly Learning Style and Content Disentanglement with Flow Models<br> 267⢠<a href="https://compvis.github.io/Art-fm/">Art-FM</a>: Stochastic Interpolants for Revealing Stylistic Flows across the History of Art<br> 268⢠<a href="https://compvis.github.io/tread/">TREAD</a>: Token Routing for Efficient Architecture-agnostic Diffusion Training<br> 269⢠<a href="https://compvis.github.io/flow-poke-transformer/">What If</a>: Understanding Motion Through Sparse Interactions</li><br> 270 271<li><a href="https://www.youtube.com/watch?v=rsECdSPUifs">Generative AI and the Future of Intelligence</a>, Opening Keynote at re:publica'25</li><br> 272 273<li><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5251254">The European Way. A Blueprint for Reclaiming Our Digital Future</a></li><br> 274 275<li>4 papers accepted at <em><a href="https://cvpr.thecvf.com/">CVPRâ25</a></em>:<br> 276⢠<a href="https://compvis.github.io/cleandift/">CleanDIFT</a>: Diffusion Features without Noise (ORAL)<br> 277⢠<a href="https://compvis.github.io/attribute-control/">Attribute Control in T2I</a> by Semantic Directions<br> 278⢠<a href="https://arxiv.org/abs/2506.02221">Diff2Flow</a>: Training Flow Matching Models via Diffusion Model Alignment<br> 279⢠<a href="https://latentdrifting.github.io/">Latent Drifting in Diffusion for Counterfactual Synthesis</a> (Highlight)</li><br> 280 281<li>2 papers (<a href="https://depthfm.github.io/">DepthFM</a> & <a href="https://arxiv.org/pdf/2412.11917">DisCLIP</a>) at AAAIâ25 + 1 <a href="https://compvis.github.io/distilldift/">paper</a> at WACVâ25</li><br> 282 283<li>Awarded <a href="https://www.eduard-rhein-stiftung.de/preistrager/">Technology-Prize of Eduard-Rhein-Foundation</a></li><br> 284 285<li><a href="https://aapm.onlinelibrary.wiley.com/doi/pdf/10.1002/mp.17413">Medical Physics</a> article on analyzing CT enhancement</li><br></div></aside><aside id="custom_html-20" class="widget_text widget widget_custom_html"><h3 class="widget-title">2024</h3><div class="textwidget custom-html-widget"><hr> 286<li><a href="https://www.welt.de/videos/video253740430/Verleihung-des-KI-Innovationspreises-im-Rahmen-des-Deutsc
286hen-KI-Preises-2024.html">Awarded German AI-Prizeâ24</a></li><br> 287 288<li>Nominated <a href="https://www.lmu.de/en/newsroom/news-overview/news/bjoern-ommer-nominated-for-deutscher-zukunftspreis.html">German Future Prize of the President of Germany</a></li><br> 289 290<li>4 papers accepted at <em><a href="https://eccv.ecva.net/" target="_blank">ECCV'24</a></em> on:<br> 291⢠<a href="https://compvis.github.io/LoRAdapter/" target="_blank">Conditional LoRAs for 0-Shot Control & Altering of T2I-Models</a><br> 292⢠<a href="https://arxiv.org/abs/2403.13802">ZigMa: Zigzag Mamba Diffusion Model</a><br> 293⢠<a href="https://compvis.github.io/wast3d/">3D Gaussian Splatting for 3D Stylization using Wasserstein-2 Distance</a><br> 294⢠<a href="https://compvis.github.io/fm-boosting/">Flow Matching for Boosting Latent Diffusion</a></li><br> 295 296<li><a href="https://arxiv.org/pdf/2310.07204">Eurographics</a> overview article on Diffusion Models</li><br> 297 298<li><a href="https://aapm.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mp.17379">Medical Physics</a> article on benchmarking AI-based CT image denoising</li><br></div></aside><aside id="custom_html-5" class="widget_text widget widget_custom_html"><h3 class="widget-title">2022</h3><div class="textwidget custom-html-widget"><hr> 299<li><a href="https://www.dagm.de/award-winners/gcpr-best-paper-awards" target="_blank" rel="noopener"><em>GCPR'22</em> Honorable Mention</a> for paper on <a href="https://github.com/matthias-wright/art-fid" target="_blank" rel="noopener">ArtFID: Quantitative Evaluation of Neural Style Transfer</a></li><br> 300 301<li><a href="https://arxiv.org/abs/2204.11824" target="_blank" rel="noopener"><em>NeurIPS'22</em> article</a> on retrieval-augmented diffusion models</li><br> 302 303<li><a href="https://www.nature.com/articles/s41586-022-04777-z" target="_blank" rel="noopener"><em>Nature</em> article</a> using image registration to analyze neuropathic pain</li><br> 304 305<li><a href="https://dvsml2022-tutorial.github.io/index.html" target="_blank" rel="noopener"><em>CVPR'22</em> tutorial</a> on Deep Visual Similarity and Metric Learning</li><br> 306 307<li><em><a href="https://doi.ieeecomputersociety.org/10.1109/TPAMI.2020.3009620" target="_blank" rel="noopener">T-PAMI</a></em> publication accepted on<br> 308 ⢠Shared feature learning for Deep Metric Learning (<a href="https://arxiv.org/pdf/2004.05582">PDF Download</a>)</li><br> 309 310<li><em><a href="https://ommer-lab.com/research/latent-diffusion-models">CVPR'22</a></em> on latent diffusion models for high-res image synthesis, a.k.a. LDM & Stable Diffusion, <a href="https://github.com/CompVis/stable-diffusion">source code & models</a> 311</li> 312</div></aside><aside id="custom_html-14" class="widget_text widget widget_custom_html"><h3 class="widget-title">2021</h3><div class="textwidget custom-html-widget"><hr> 313<li>PLOS ONE article on <em><a href="https://dx.doi.org/10.1371/journal.pone.0259718" target="_blank" rel="noopener">Interactive Retrieval in Art Collections</a></em></li><br> 314 315<li>2 papers accepted at <em><a href="https://nips.cc/" target="_blank">NeurIPS'21</a></em> on:<br> 316⢠<a href="https://compvis.github.io/imagebart/" target="_blank">Multinomial Diffusion for Improving Autoregressive Image Synthesis</a><br> 317⢠<a href="https://arxiv.org/abs/2107.09562" target="_blank">Analyzing OOD Generalization in Deep Metric Learning</a></li><br> 318 319<li> <em><a href="https://ieeexplore.ieee.org/document/9540303" target="_blank" rel="noopener"> T-PAMI </a></em> publication accepted on <br> 320 ⢠Improving Deep Metric Learning by divide and conquer (<a href="https://arxiv.org/pdf/2109.04003">PDF Download</a>)</li><br> 321 322<li><em><a href="https://rdcu.be/ch6pL" target="_blank" rel="noopener">Nature </a>Machine Intelligence</em> article on unsupervised behavior analysis & magnification (uBAM) for biomedical diagnostics</li><br> 323 324<li>3 papers accepted at <em><a href="http://iccv2021.thecvf.com/home" target="_blank">ICCV'21</a></em> on:<br> 325⢠<a href="https://compvis.github.io/geometry-free-view-synthesis/" target="_blank">Transformers for Geometry-Free 3D Novel-View Synthesis</a><br> 326⢠<a href="https://compvis.github.io/ipoke/" target="_blank">iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis</a><br> 327⢠Self-Supervised LiDAR Scene Flow and Motion Segmentation (ORAL)</li><br> 328 329<li><em><a href="https://arxiv.org/abs/2009.08348" target="_blank" rel="noopener">ICML'21</a></em> paper accepted on self-distillation for deep metric learning</li><br> 330 331<li>6 papers accepted at <em><a href="http://cvpr2021.thecvf.com/" target="_blank" rel="noopener">CVPR'21</a></em> on: 332<br> 333 334⢠<a href="https://compvis.github.io/taming-transformers/" target="_blank" rel="noopener">Taming Transformers for Hi-Res Image Synthesis</a><br> 335⢠<a href="https://compvis.github.io/interactive-image2video-synthesis/" target="_blank" rel="noopener">Learning Object Dynamics for Interactive Video Synthesis</a><br> 336⢠<a href="https://arxiv.org/abs/2105.04551" target="_blank" rel="noopener">Stochastic Image-to-Video Synthesis</a><br> 337⢠<a href="https://arxiv.org/abs/2103.17185" target="_blank" rel="noopener">Stroke-based Style Transfer</a><br> 338⢠<a href="https://arxiv.org/abs/2103.04677" target="_blank" rel="noopener">Behavior-driven Synthesis of Human Dynamics</a><br> 339 ⢠<a href="https://arxiv.org/abs/2003.11596" target="_blank" rel="noopener">Learning Exposure Correction</a></li><br> 340 341<li>Best Paper Award at <em>CVPR'21âAI for Content Creation WS</em> on <br> 342⢠High-Res Complex Scene Synthesis with Transformers</li><br> 343 344<li><em><a href="http://www.icra2021.org/" target="_blank" rel="noopener">ICRA'21</a></em> paper accepted on 3D object detection</li> 345</div></aside><aside id="custom_html-6" class="widget_text widget widget_custom_html"><h3 class="widget-title">2020</h3><div class="textwidget custom-html-widget"><hr> 346<li><a href="https://compvis.github.io/net2net/" target="_blank" rel="noopener">NeurIPS'20</a> ORAL on cINNs for Network-to-Network Translation</li><br> 347 348<li><a href="https://doi.ieeecomputersociety.org/10.1109/TPAMI.2020.3009620" target="_blank" rel="noopener">T-PAMI</a> publication accepted on<br> 349⢠Shared feature learning for Deep Metric Learning</li><br> 350 351<li><a href="https://doi.org/10.1371/journal.pone.0243039" target="_blank" rel="noopener">PLoS ONE </a> publication on weakly supervised transliteration alignment for cuneiform sign detection</li><br> 352 353<li><a href="https://compvis.github.io/unsupervised-part-segmentation/" target="_blank" rel="noopener">GCPR'20 </a> ORAL on unsupervised part learning by disentangling</li><br> 354 355<li>2 papers accepted at <a href="https://eccv2020.eu/" target="_blank" rel="noopener">ECCV'20</a> on: 356<br> 357⢠Explainable AI and semantic image manipulation<br> 358⢠Deep Metric Learning beyond discriminative features 359</li><br> 360 361<li><a href="https://icml.cc" target="_blank" rel="noopener">ICML'20</a> paper accepted on<br> 362⢠Generalization in Deep Metric Learning 363</li><br> 364 365<li>Best Paper Award at CVPR'20âAI for Content Creation WS on<br> 366⢠Interpretable Models for Visual Synthesis 367</li><br> 368 369<li>3 papers accepted at <a href="http://cvpr2020.thecvf.com/" target="_blank" rel="noopener">CVPR'20</a> on: 370<br> 371⢠<a href="https://compvis.github.io/iin/" target="_blank" rel="noopener">Explainable AI</a><br> 372⢠<a href="https://arxiv.org/abs/2003.11113" target="_blank" rel="noopener">Reinforcement Learning for Deep Metric Learning</a><br> 373⢠<a href="https://compvis.github.io/magnify-posture-deviations/" target="_blank" rel="noopener">Unsupervised Behavior Analytics</a> 374</li></div></aside><aside id="custom_html-8" class="widget_text widget widget_custom_html"><h3 class="widget-title">2019</h3><div class="textwidget custom-html-widget"><hr> 375 376<li>3 papers accepted at <a href="http://iccv2019.thecvf.com" target="_blank" rel="noopener">ICCV'19</a></li><br> 377 378<li><a href="https://compvis.github.io/unsupervised-disentangling/" target="_blank" rel="noopener">Best paper finalist</a> at CVPR'19</li><br> 379 380<li>3 papers accepted at <a href="http://cvpr2019.thecvf.com" target="_blank" rel="noopener">CVPR'19</a></li> 381</div></aside><aside id="block-6" class="widget widget_block"><div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-flow 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