MC-INR: Efficient Encoding of Multivariate Scientific Simulation Data using Meta-Learning and Clustered Implicit Neural Representations

Documenti analoghi

• Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation
  di: Yang, Maizhe, et al.
  Pubblicazione: (2025)
• XROps: A Visual Workflow Management System for Dynamic Immersive Analytics
  di: Jeon, Suemin, et al.
  Pubblicazione: (2025)
• Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification
  di: Koh, GaYeon, et al.
  Pubblicazione: (2025)
• Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior
  di: Lee, Kyungryun, et al.
  Pubblicazione: (2024)
• Compressive Modeling and Visualization of Multivariate Scientific Data using Implicit Neural Representation
  di: Dwivedi, Abhay Kumar, et al.
  Pubblicazione: (2025)