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description=Visual Computing & Artificial Intelligence Lab at the Technical University of Munich headed by Prof. Matthias Nießner;
author=Matthias Niessner;
keywords=Visual Computing, 3D Vision, Machine Learning, Artifical Intelligence 3D Reconstruction, Scene Understanding, Semantics, Optimization, GPGPU Programming;

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Text of the page (random words):
tum visual computing artificial intelligence prof matthias nießner home publications teaching projects openings team contact news nine papers accepted to eccv 2026 june 18 2026 six papers accepted to neurips 2025 june 27 2025 seven papers accepted to iccv 2025 in hawaii june 27 2025 we have several fully funded phd postdoc openings in our group june 21 2025 spaitial ai a brandnew spin off of our group has raised 13m in a seed funding round may 27 2025 synthesia has raised 180m in a series d funding round on with an evaluation of one 2 1b jan 15 2025 prof matthias nießner was awarded the erc 2025 consolidator grant for gen3d receiving 2 75 million euro in funding dec 3 2025 three papers accepted to siggraph asia 2024 in tokyo sept 28 2024 three papers accepted to eccv 2024 in milan may 23 2024 fourteen papers accepted to cvpr 2024 in seattle feb 27 2024 two papers accepted to neurips 2023 in new orleans nov 15 2023 our new application system for phd visiting intern and postdoc positions is now online oct 31 2023 eight papers accepted to iccv 2023 in paris july 14 2023 synthesia a spin off of our group has reached unicorn status with an evaluation of one billion usd june 13 2023 four papers accepted to siggraph 2023 in los angeles may 6 2023 seven papers accepted to cvpr 2023 in vancouver feb 28 2023 three papers accepted to neurips 2022 in new orleans and virtual sept 15 2022 seven papers accepted to eccv 2022 in tel aviv and virtual july 4 2022 six papers accepted to cvpr 2022 in new orleans and virtual march 7 2022 two papers accepted to neurips 2021 virtual zoom sept 28 2021 six papers accepted to iccv 2021 virtual zoom july 22 2021 new research fellowship opportunities for master s students in our lab march 7th 2021 seven papers 3 orals 4 posters accepted to cvpr 2021 in nashville zoom march 3rd 2021 prof matthias nießner received the german pattern recognition award 2020 sept 29 2020 one paper accepted to neurips 2020 sept 26 2020 one paper accepted to siggraph asia 2020 aug 20 2020 scannet won the sgp 2020 dataset award july 9 2020 luisa verdoliva was awarded with an ias hans fischer fellowships and will be joining us as a visiting professor july 7 2020 five papers accepted to eccv 2020 glasgow zoom july 3 2020 eight papers accepted to cvpr 2020 in seattle wa feb 24 2020 presenting our research to the fed german gov chancellor merkel at digital summit meseberg germany nov 18 2019 five papers accepted to iccv 2019 seoul south korea july 23 2019 prof matthias nießner wins eurographics 2019 young researcher award may 8 2019 two papers accepted to siggraph 2019 march 28 2019 five orals and one poster accepted to cvpr 2019 march 2 2019 we have several phd and postdoc openings get in touch jan 30 2019 face2face featured as a research highlight in communications of the acm on the front cover in january 2019 january 25 2019 two papers accepted to iclr 2019 on learning geometric features dec 19 2018 prof matthias nießner was awarded the erc 2018 starting grant for scan2cad receiving 1 5 million euro in funding july 27 2018 two papers accepted to eccv 2018 including one oral presentation july 25 2018 prof matthias nießner received the nvidia professor partnership award july 10 2018 leonidas guibas and angel chang were awarded with ias hans fischer fellowships they are joining us as vist professors apr 2 2018 we have several phd and postdoc openings get in touch mar 24 2018 prof matthias nießner was awarded the google faculty award for machine perception mar 20 2018 announcing the robust vision challenge 2018 at cvpr watch out for the chicken feb 12 2018 dr justus thies was nominated for the gi 2017 thesis award dec 04 2017 research highlights prof niessner dr thies and m sc rössler presenting to the german federal government at digitalgipfel about ai syntheticmedia and mediaforensics a specific focus was put on the faceforensics works as well as a general discussion about the general ai landscape in germany so many opportunities in how to move the country forward research highlights scannet is an rgb d video dataset containing 2 5 million views in more than 1500 scans annotated with 3d camera poses surface reconstructions and instance level semantic segmentations this data is specifically designed to support deep learning tasks for scene understanding in 3d it is one of the largest annotated rgb d dataset that is publically available research highlights group retreat of our tum visual computing ai group it was a fantastic venue at beilngries next to the idyllic altmuehl river we had a fantastic time going through paper drafts presentations of our ongoing projects made a lot of progress amazing group research highlights face2face is a real time face tracker whose analysis by synthesis approach preceisely fits a 3d face model to a captured rgb video this produces high accuracy tracking allowing for photo realistic re rendering and modifications of a target video in a nutshell one can change the expressions of a target video in real time this project has received incredible attention with several million youtube views and wide range of media coverage we even gave live demos on several occasions on public television previous next research agenda the visual computing artificial intelligence lab at tum is a group of research enthusiasts advancing cutting edge research at the intersection of computer vision computer graphics and artificial intelligence our research mission is to obtain highly realistic digital replica of the real world which include representations of detailed 3d geometries surface textures and material definitions of both static and dynamic scene environments in our research we heavily build on advances in modern machine learning and develop novel methods that enable us to learn strong priors to fuel 3d reconstruction techniques ultimately we aim to obtain holographic representations that are visually indistinguishable from the real world ideally captured from a simple webcam or mobile phone we believe this is a critical component in facilitating immersive augmented and virtual reality applications and will have a substantial positive impact in modern digital societies keywords visual computing 3d vision machine learning artificial intelligence 3d reconstruction scene understanding neural rendering neural scene representations our lab is located at the research campus in garching inside the faculty of computer science the slide enables both students and visitors to make the journey down from the fourth floor a little quicker than might be expected graphics visualization lab faculty of computer science technical university munich visual computing artificial intelligence group 2026 impressum impressum anschrift technische universität münchen boltzmannstr 3 85748 garching bei münchen telefon 49 89 289 18160 zuständige aufsichtsbehörde bayerisches staatsministerium für wissenschaft und kunst umsatzsteueridentifikationsnummer de811193231 inhaltlich verantwortlich prof dr matthias niessner technische universität münchen informatik 28 boltzmannstrasse 3 85748 garching bei münchen e mail niessner at tum de haftungshinweis trotz sorgfältiger inhaltlicher kontrolle übernehmen wir keine haftung für die inhalte externer links für den inhalt der verlinkten seiten sind ausschließlich deren betreiber verantwortlich namentlich gekennzeichnete beiträge in den diskussions bereichen geben die meinung des autors wieder für die inhalte der beiträge sind ausschließlich die autoren zuständig close