[CFP] CVPR 2026 Workshop: 3D Geometry Generation for Scientific Computing

[Wuyang Chen]

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: 3d4swo...@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
https://delta-lab-ai.github.io/
https://www.sfu.ca/fas/computing/people/faculty/faculty-members/wuyang-chen.html