CVPR 2026 Workshop: 3D Geometry Generation for Scientific Computing

January 27th, 2026 Daniela Lopez de Luise
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!
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
Posted in Congress
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