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MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data Compression

Year: 2025

Type: article

Source: IEEE Transactions on Visualization and Computer Graphics

DOI: 10.1109/tvcg.2025.3633893

Authors: Jun Han, Kaiyuan Tang, Chaoli Wang

Institutions: Hong Kong University of Science and Technology, University of Notre Dame

Language: English

Topic: 3D Shape Modeling and Analysis

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: Center for Outcomes Research and Evaluation, Yale School of Medicine, National Natural Science Foundation of China

Award: G7022676816

OpenAlex ID: W4416513318

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