DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization

13 April 2022

Papers citing "DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization"

29 / 29 papers shown

Title
Topology Guidance: Controlling the Outputs of Generative Models via Vector Field Topology Xiaohan Wang Matthew Berger DiffM 33 0 0 11 May 2025
iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting Kaiyuan Tang Siyuan Yao Chaoli Wang 3DGS 46 1 0 24 Apr 2025
Volume Encoding Gaussians: Transfer Function-Agnostic 3D Gaussians for Volume Rendering Landon Dyken Andres Sewell Will Usher Steve Petruzza Sidharth Kumar 3DGS 31 0 0 17 Apr 2025
ViSNeRF: Efficient Multidimensional Neural Radiance Field Representation for Visualization Synthesis of Dynamic Volumetric Scenes Siyuan Yao Yunfei Lu Chaoli Wang 3DH 44 0 0 23 Feb 2025
Bridging Quantitative and Qualitative Methods for Visualization Research: A Data/Semantics Perspective in Light of Advanced AI Daniel Weiskopf 39 0 0 11 Sep 2024
Uncertainty-Informed Volume Visualization using Implicit Neural Representation Shanu Saklani Chitwan Goel Shrey Bansal Zhe Wang Soumya Dutta Tushar M. Athawale D. Pugmire Christopher R. Johnson 47 0 0 12 Aug 2024
StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization Mridul Khurana Chaoli Wang 33 3 0 31 Jul 2024
A Comparative Study of Neural Surface Reconstruction for Scientific Visualization Siyuan Yao Weixi Song Chaoli Wang 3DV 20 1 0 30 Jul 2024
FCNR: Fast Compressive Neural Representation of Visualization Images Yunfei Lu Pengfei Gu Chaoli Wang 35 1 0 23 Jul 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 53 0 0 23 Jul 2024
ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging Guan Li Yang Liu Guihua Shan Shiyu Cheng Weiqun Cao Junpeng Wang Ko-Chih Wang DiffM 34 2 0 19 Jul 2024
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis Soumya Dutta Faheem Nizar Ahmad Amaan Ayan Acharya AAML 48 1 0 22 May 2024
Generative AI for Visualization: State of the Art and Future Directions Yilin Ye Jianing Hao Yihan Hou Zhan Wang Shishi Xiao Yuyu Luo Wei Zeng 36 39 0 28 Apr 2024
VortexViz: Finding Vortex Boundaries by Learning from Particle Trajectories Akila de Silva Nicholas Tee Omkar Ghanekar Fahim Hasan Khan Gregory Dusek James Davis Alex Pang 34 0 0 01 Apr 2024
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks Mengjiao Han Jixian Li Sudhanshu Sane Shubham Gupta Bei Wang Steve Petruzza C. R. Johnson AI4CE 18 2 0 20 Dec 2023
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets Kaiyuan Tang Chaoli Wang 18 6 0 02 Oct 2023
FFEINR: Flow Feature-Enhanced Implicit Neural Representation for Spatio-temporal Super-Resolution Chenyue Jiao Chongke Bi Lu Yang 24 3 0 24 Aug 2023
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization Skylar W. Wurster Tianyu Xiong H. Shen Hanqi Guo Tom Peterka 22 9 0 16 Jul 2023
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination David Bauer Qi Wu Kwan-Liu Ma 23 1 0 14 Apr 2023
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation Qi Wu David Bauer Yuyang Chen Kwan-Liu Ma 33 14 0 09 Apr 2023
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules Zhi-Qi Cheng Qianwen Dai Siyao Li Jingdong Sun Teruko Mitamura Alexander G. Hauptmann 29 21 0 05 Apr 2023
Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles Mengjiao Han Tushar M. Athawale D. Pugmire Chris R. Johnson 30 8 0 15 Jul 2022
Monocular Depth Decomposition of Semi-Transparent Volume Renderings Dominik Engel Sebastian Hartwig Timo Ropinski MDE 28 1 0 27 Jun 2022
Physics-based Deep Learning Nils Thuerey Philipp Holl P. Holl Patrick Schnell Felix Trost Kiwon Um P. Schnell F. Trost PINN AI4CE 53 92 0 11 Sep 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,450 0 21 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 195 5,176 0 16 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015