Topics

In this workshop, we aim to bring together experts from computer vision and scientific problems, spur discussions, and foster collaborations on broad and transformative questions and challenges (include but 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)?

Scientific Domains. We invite paper submissions from various scientific domains, including but not limited to: Fluid Dynamics, Climate and Glaciology, Biomedicine and Medical Research, Astronomy and Planetary Science, Material Science, Physics and High Energy Research, Astrophysics and Space Science, Computational Modeling and Forecasting, Earth Science, Chemistry and Small Molecules, Ecology and Environmental Studies, Geosciences and Geology, Urban Planning and Architecture. Applications-driven submissions focusing on 3D/4D reconstructions for scientific data are also highly encouraged.