2026-07-22T08:57:28Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:17270 2026-04-20T13:30:51Z ddc:004 open_access

3D Morphable Models and Beyond (Dagstuhl Seminar 22121) Gardner, James Egger, Bernhard Smith, William Theobalt, Christian Wuhrer, Stefanie 3D Computer Vision Generative Models Neural Rendering Implicit Representations Computer Graphics Statistical Modelling 3D Morphable Models are models separating shape from appearance variation. Typically, they are used as a statistical prior in computer graphics and vision. Recent success with neural representations have caused a resurgence of interest in visual computing problems, leading to more accurate, higher fidelity, more expressive, and memory-efficient solutions. This report documents the program and the outcomes of Dagstuhl Seminar 22121, "3D Morphable Models and Beyond". This meeting of 39 researchers covered various topics, including 3D morphable models, implicit neural representations, physics-inspired approaches, and more. We summarise the discussions, presentations and results of this workshop. Schloss Dagstuhl – Leibniz-Zentrum für Informatik James Gardner and Bernhard Egger and William Smith and Christian Theobalt and Stefanie Wuhrer 2022 Is Part Of Dagstuhl Reports, Volume 12, Issue 3 (2022) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagRep.12.3.97 urn:nbn:de:0030-drops-172701 https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.3.97 eng https://creativecommons.org/licenses/by/4.0/legalcode