Work

NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting

Year: 2025

Type: article

Source: IEEE Transactions on Visualization and Computer Graphics

DOI: 10.1109/tvcg.2025.3633888

Authors: Kuangshi Ai, Kaiyuan Tang, Chaoli Wang

Institution: University of Notre Dame

Language: English

Topic: Computer Graphics and Visualization Techniques

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, U.S. Department of Energy

Awards: III: Small: Neural Field Representations for Scientific Visualization, III: Small: DeepRep: Unsupervised Deep Representation Learning for Scientific Data Analysis and Visualization, IMPLICIT CONTINUOUS REPRESENTATIONS FOR VISUALIZATION OF COMPLEX DATA, III: Medium: Collaborative Research: Deep Learning for In Situ Analysis and Visualization, OAC Core: A Machine Learning Assisted Visual Analytics Approach for Understanding Flow Surfaces

OpenAlex ID: W4416513617

FWCI: 13.43

Cites: 64

Cited by: 6

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