5 papers · 1 filter
ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization
Kaiyuan Tang, Chaoli Wang
Recent advances in differentiable Gaussian splatting have highlighted the potential of primitive-based approaches as alternative scene representations for interactive, high-quality…
Lossless-INR: Lossless Volumetric Implicit Neural Representations
Kaiyuan Tang, Daniel Burke, Chaoli Wang
Implicit neural representation (INR) methods provide continuous coordinate-to-value mappings and integrate naturally with direct volume rendering, making them attractive for repres…
SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation
Zixuan Pan, Kaiyuan Tang, Jun Xia +5
2D Gaussian Splatting has emerged as a novel image representation technique that can support efficient rendering on low-end devices. However, scaling to high-resolution images requ…
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…
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets
Kaiyuan Tang, Chaoli Wang
Due to its conceptual simplicity and generality, compressive neural representation has emerged as a promising alternative to traditional compression methods for managing massive vo…