2 papers
cs.GR2026
EVOLVE: Efficient Learned Volume Compression with Variable-Rate Encoding on a Cross-Domain Database
Kaiyuan Tang, Maizhe Yang, Chaoli Wang
Large-scale scientific simulations generate volumetric data at rates that far outpace advances in storage and network bandwidth, making effective lossy compression increasingly cri…
cs.CV2025
Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation
Maizhe Yang, Kaiyuan Tang, Chaoli Wang
Implicit neural representation (INR) has emerged as a promising solution for encoding volumetric data, offering continuous representations and seamless compatibility with the volum…