Learning Adaptive Sampling and Reconstruction for Volume Visualization

20 July 2020

Papers citing "Learning Adaptive Sampling and Reconstruction for Volume Visualization"

9 / 9 papers shown

Title
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 55 0 0 23 Jul 2024
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination David Bauer Qi Wu Kwan-Liu Ma 23 1 0 14 Apr 2023
FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks David Bauer Qi Wu Kwan-Liu Ma 3DH 34 19 0 20 Sep 2022
Monocular Depth Decomposition of Semi-Transparent Volume Renderings Dominik Engel Sebastian Hartwig Timo Ropinski MDE 28 1 0 27 Jun 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 41 36 0 13 Apr 2022
Fast Neural Representations for Direct Volume Rendering S. Weiss Philipp Hermüller Rüdiger Westermann 32 40 0 02 Dec 2021
Differentiable Direct Volume Rendering S. Weiss Rüdiger Westermann 33 29 0 27 Jul 2021
Deep Hierarchical Super Resolution for Scientific Data Skylar W. Wurster Hanqi Guo Han-Wei Shen T. Peterka Jiayi Xu 25 13 0 30 May 2021
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 234 5,180 0 16 Sep 2016