Call for Papers

Working on 3D/4D geometry generation or reconstruction for scientific data?
Consider submitting your paper to the 
2nd Workshop on 3D Geometry Generation for Scientific Computing at CVPR 2026!

Submission details: https://3d4sworkshop.github.io/cfp.html
OpenReview submission portal: https://openreview.net/group?id=thecvf.com/CVPR/2026/Workshop/3D4S

Tentative important dates (AoE time):

    Abstract Submission Deadline: March 10, 2026
    Paper Submission Deadline: March 12, 2026
    Review Bidding Period: March 12 - March 14, 2026
    Review Deadline: March 31, 2026
    Acceptance/Rejection Notification Date: April 2, 2026
    Camera-Ready Submission: April 11, 2026
    Workshop Date: June 3 or 4, 2026

Topics: include but are not limited to:

    Multi-scale Patterns: How can 3D/4D models effectively capture
    both fine-grained and large-scale details in complex scientific
    datasets, such as fluid and smoke?

    Large-scale Scenes: What techniques can improve the scalability of
    3D/4D reconstructions for large environments like cities, forests,
    or glaciers, without sacrificing accuracy or computational
    feasibility?

    Heterogeneous Views: How can we effectively integrate data from
    multiple sources (e.g., satellite, LiDAR, drone, mobile devices)
    to produce accurate and seamless 3D models while minimizing noise
    and alignment issues?

    Dynamic and Time-varying Views: What methods can improve temporal
    coherence in 4D reconstructions of dynamic scenes, such as
    fast-moving natural systems or urban traffic, while avoiding
    artifacts?

    Complex and Unstructured Geometries: How can 3D/4D models better
    handle irregular, unstructured geometries found in natural
    environments like mountains or coral reefs, particularly in the
    presence of sharp features?

    Occlusions and Missing Observations: What techniques can be
    developed to fill gaps in occluded or incomplete data in
    real-world scenarios, ensuring accurate reconstructions despite
    missing perspectives or environmental obstacles?

    Computational Complexity: How can we reduce the computational cost
    of high-quality 3D/4D reconstructions, especially for real-time or
    large-scale applications that require high-resolution output?

    Generalization and Scene Adaptability: What approaches can help
    3D/4D models generalize to new environments without retraining,
    enabling wider applicability across different scientific domains?

    Real-time Rendering for Dynamic Scenes: How can we achieve
    real-time rendering for dynamic 4D scenes in complex environments,
    such as simulating natural disasters or fast-moving ecosystems?

    Lighting and Viewpoint Variations: What novel algorithms can
    improve the robustness of 3D reconstructions in variable lighting
    or challenging viewpoints (e.g., low-light conditions or extreme
    weather)?

For other information about our workshop, please visit:
https://3d4sworkshop.github.io/index.html

If you have any questions about paper submission and the workshop,
please send email to: 3d4sworkshop@gmail.com

We look forward to your contributions!

Sincerely,
Wuyang
--
Wuyang Chen, Ph.D.
Assistant Professor of Computing Science
Simon Fraser University, Burnaby, BC, Canada
Pronouns: he/him/his
hhttps://delta-lab-ai.github.io/
https://delta-lab-ai.github.io/
https://www.sfu.ca/fas/computing/people/faculty/faculty-members/wuyang-chen.html