1st Workshop on
Generating Digital Twins from Images and Videos

International Conference on Computer Vision (ICCV 2025)
Oct 20th, 2025 - Honolulu, Hawai'i


About
In this workshop, we define Digital Twins as 3D models enriched with processes and semantic connections, similar to those in computer game environments. These models can range in fidelity from simplified 3D representations (Digital Cousins) to highly accurate reconstructions of real-world counterparts (Digital Twins). Our focus will be on methodologies and understanding required to improve the accuracy of these reconstructions and their associated processes using visual data, advancing from digital approximations to true Digital Twins. 3D Gaussian Splatting (3DGS) and diffusion models, have demonstrated impressive success in generating 3D representations from images and video. The next frontier in 3D representation is enriching models by integrating both physical and semantic object properties through generative AI and retrieval-based approaches.
Event Information This is a primarily in-person workshop, held at the 2025 International Conference on Computer Vision (ICCV), in Honolulu, Hawai'i on Oct 20th, 2025. The exact room location will be announced when the schedule is finalized.

The submission deadline for archival papers is June 27, 2025, 11:59 PM HST.

The submission deadline for non-archival papers is July 31, 2025, 11:59 PM HST.

Schedule (Oct 20th, 2025)
Time Speakers Info
TBA Organizers
Introductory Remarks
TBA Keynote 1: Matthias Nießner
Technical University of Munich

Title: Photo-realistic AI Avatars
TBA Keynote 2: Jiajun Wu
Stanford

Title: blank
TBA Keynote 3: Manolis Savva
SFU

Title: blank
TBA Keynote 4: Angela Dai
Technical University of Munich

Title: blank
TBA Keynote 5: Katerina Fragkiadaki
CMU

Title: blank
TBA Keynote 6: Marc Pollefeys
ETH Zurich

Title: blank
TBA Keynote 7: David Fouhey
NYU

Title: blank


Call for Papers
Targeted Topics
The gDT-IV Workshop at ICCV 2025 welcomes submissions on all aspects of generating digital twins from images and videos, especially (but not limited to):

  • Applications of digital twins in robotics, media content creation, AI-driven video synthesis, interior design, construction monitoring, and gaming.
  • Streaming and compression techniques for sharing large 3D scenes over the web.
  • Synchronization of the Digital Twin model with the video stream.
  • 3D Gaussian Splatting (3DGS) and its extensions for dynamic scenes.
  • Lighting variations, shadows, material properties, and reflections in 3DGS reconstruction.
  • Modeling articulated object parts and their motion constraints from video (e.g., cabinets).
  • Inpainting and completion techniques for occluded regions in complex indoor scenes.
  • Retrieval-based and generative hybrid pipelines for 3D object and scene creation.
  • Learning object properties (mass, softness, friction) from videos.
  • Physics-informed 3D generation, blending physical simulation with visual generation.
  • Semantic 3D segmentation for scene understanding (object-level vs. fine-grained).
Submission Tracks

We will have two submission tracks:

  1. Archival Track

    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


  2. Non-Archival Track

    This flexible track welcomes a wider range of contributions:

    • Extended abstracts & short papers — up to 4 pages, suitable for work in progress, negative results, or position papers. References and appendices may extend beyond 4 pages.
    • Previously published work — including papers accepted at ICCV 2025 or other venues in the last year.

    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

Important Dates
  • Archival Submission Deadline: 27 June 2025, 11:59 PM HST
  • Archival Author Notifications: 10 July 2025, 11:59 PM HST
  • Archival Camera-Ready: 13 Aug 2025, 11:59 PM HST

  • Non-Archival Submission Deadline: 31 July 2025, 11:59 PM HST
  • Non-Archival Author Notifications: 21 Aug 2025, 11:59 PM HST
  • Non-Archival Camera-Ready: 12 Sept 2025, 11:59 PM HST

Organizers

Andrew Melnik

University of Bremen

Chen Geng

Stanford University

Yujin Chen

Technical University of Munich

Lei Ke

Carnegie Mellon University

Qirui Wu

Simon Fraser University

Jiayi Liu

Simon Fraser University



Contact and Information
Please forward all questions to gdt-iv-pcs@googlegroups.com.