4 papers · 1 filter
TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting
Kaiyuan Tang, Kuangshi Ai, Jun Han +1
Advancements in volume visualization (VolVis) focus on extracting insights from 3D volumetric data by generating visually compelling renderings that reveal complex internal structu…
NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting
Kuangshi Ai, Kaiyuan Tang, Chaoli Wang
Traditional volume visualization (VolVis) methods, like direct volume rendering, suffer from rigid transfer function designs and high computational costs. Although novel view synth…
iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting
Kaiyuan Tang, Siyuan Yao, Chaoli Wang
In volume visualization, users can interactively explore the three-dimensional data by specifying color and opacity mappings in the transfer function (TF) or adjusting lighting par…
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…