1st Workshop on
Generating Digital Twins from Images and Videos
International Conference on Computer Vision (ICCV 2025)
Oct 20th, 2025 - Honolulu, Hawai'i
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Keynote 1: Matthias Nießner Technical University of Munich Title: Photo-realistic AI Avatars Abstract
In this lecture, I will talk about our latest research on creating photo-realistic AI Avatars. Here, the main goal is to create virtual characters that can are visually indistinguishable from photos and videos of real people. Further, we aim to control such avatars with multi-modal control signals such as animation rigs, text, or voice in order to replicate real-world conversations and leverage our avatars for 3D content creation. Ultimately, the goal is to witness the evolution of photos and videos into interactive, holographic 3D content that is indistinguishable from the physical reality. To this end, we focus on the possibility of capturing and sharing 3D photos with friends, family, or through social media platforms. Imagine the ability to comprehensively document historical events along with the participating people for future generations, or to generate content for upcoming applications in augmented and virtual reality.
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Keynote 2: Jiajun Wu Stanford Title: blank Abstract
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Keynote 3: Manolis Savva SFU Title: blank Abstract
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Keynote 4: Angela Dai Technical University of Munich Title: blank Abstract
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Keynote 5: Katerina Fragkiadaki CMU Title: blank Abstract
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Keynote 6: Marc Pollefeys ETH Zurich Title: blank Abstract
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Keynote 7: David Fouhey NYU Title: blank Abstract
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We will have two submission tracks:
Papers should present original, unpublished work and follow a strict double-blind review. Manuscripts must be prepared with the ICCV 2025 Author Kit and be 4–8 pages (references and appendices may extend beyond 8 pages). Accepted papers will appear in the official ICCV 2025 Workshop Proceedings, and authors will present in person.
We follow the same policy as the main ICCV conference for this track. By submitting to this track, the authors acknowledge that it has not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue including journal, conference or workshop, or archival forum. Furthermore, no publication substantially similar in content (defined as having 20 percent or more overlap) has been or will be registered or submitted to this or another conference, workshop, or journal during the review period. Violation of any of these conditions will lead to rejection, and will be reported to the other venue to which the submission was sent. For more details policy, please check the official policy at ICCV 2025.
Submit to the Archival Track via: OpenReview
This flexible track welcomes a wider range of contributions:
All submissions should be formated with the ICCV 2025 Author Kit. Submissions remain double-blind for review but will not appear in proceedings. Thus, papers that have already been published at major conferences are also welcome. Authors may also submit their work to future conferences or journals after acceptance to this workshop.
Submit to the Non-Archival Track via: OpenReview