Learning Adaptive Sampling and Reconstruction for Volume Visualization

20 July 2020

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

8 / 8 papers shown

Title
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 45 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 26 19 0 20 Sep 2022
Monocular Depth Decomposition of Semi-Transparent Volume Renderings Dominik Engel Sebastian Hartwig Timo Ropinski MDE 21 1 0 27 Jun 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 28 36 0 13 Apr 2022
Fast Neural Representations for Direct Volume Rendering S. Weiss Philipp Hermüller Rüdiger Westermann 19 40 0 02 Dec 2021
Differentiable Direct Volume Rendering S. Weiss Rüdiger Westermann 25 29 0 27 Jul 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 192 5,175 0 16 Sep 2016