2 citations · 2 across the 10 of their papers we have counts for
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SASAV: Self-Directed Agent for Scientific Analysis and Visualization
Jianxin Sun, David Lenz, Tom Peterka +1
With recent advances in frontier multimodal large language models (MLLMs) for data understanding and visual reasoning, the role of LLMs has evolved from passive LLM-as-an-interface…
F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding
Jianxin Sun, David Lenz, Hongfeng Yu +1
Interactive time-varying volume visualization is challenging due to its complex spatiotemporal features and sheer size of the dataset. Recent works transform the original discrete…
Make the Fastest Faster: Importance Mask Synthesis for Interactive Volume Visualization using Reconstruction Neural Networks
Jianxin Sun, David Lenz, Hongfeng Yu +1
Visualizing a large-scale volumetric dataset with high resolution is challenging due to the substantial computational time and space complexity. Recent deep learning-based image in…
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation
Jianxin Sun, David Lenz, Hongfeng Yu +1
Functional approximation as a high-order continuous representation provides a more accurate value and gradient query compared to the traditional discrete volume representation. Vol…
MFA-DVR: Direct Volume Rendering of MFA Models
Jianxin Sun, David Lenz, Hongfeng Yu +1
3D volume rendering is widely used to reveal insightful intrinsic patterns of volumetric datasets across many domains. However, the complex structures and varying scales of volumet…