VIS Full Papers: Machine Learning for Volume Visualization
 Session chair: Joshua A. Levine
 Room: 106
2023-10-25T23:45:00Z – 2023-10-26T01:00:00ZGMT-0600Change your timezone on the schedule page
2023-10-25T23:45:00Z – 2023-10-26T01:00:00Z
CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network 
Authors: Jun Han, Chaoli Wang
 Jun Han
2023-10-25T23:45:00Z – 2023-10-25T23:57:00ZGMT-0600Change your timezone on the schedule page
Deep Hierarchical Super Resolution for Scientific Data 
Authors: Skylar W. Wurster, Hanqi Guo, Han-Wei Shen, Thomas Peterka, Jiayi Xu
 Skylar W. Wurster
2023-10-25T23:57:00Z – 2023-10-26T00:09:00ZGMT-0600Change your timezone on the schedule page
Interactive Volume Visualization via Multi-Resolution Hash Encoding based Neural Representation 
Authors: Qi Wu, David Bauer, Michael J. Doyle, Kwan-Liu Ma
 Qi Wu
2023-10-26T00:09:00Z – 2023-10-26T00:21:00ZGMT-0600Change your timezone on the schedule page
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization 
Authors: Skylar Wolfgang Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka
 Skylar Wolfgang Wurster
2023-10-26T00:21:00Z – 2023-10-26T00:33:00ZGMT-0600Change your timezone on the schedule page
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination 
Authors: David Bauer, Qi Wu, Kwan-Liu Ma
 David Bauer
2023-10-26T00:33:00Z – 2023-10-26T00:45:00ZGMT-0600Change your timezone on the schedule page
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data 
Authors: JINGYI SHEN, Han-Wei Shen
 JINGYI SHEN
2023-10-26T00:45:00Z – 2023-10-26T00:57:00ZGMT-0600Change your timezone on the schedule page
You may want to also jump to the parent event to see related presentations: VIS Full Papers