4.7 Article

Learning Adaptive Sampling and Reconstruction for Volume Visualization

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Software Engineering

Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution

Sebastian Weiss et al.

Summary: This article investigates the use of deep learning networks to upscale low resolution sampling of an isosurface, introducing a fully convolutional neural network for learning purposes. By adding frame-to-frame motion loss during the learning stage, upscaling can consider temporal variations and achieve improved frame-to-frame coherence. The quality of inferred results is assessed and compared to bi-linear and cubic upscaling, with discussions on potential applications such as remote visualization and foveated rendering.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2021)

Article Computer Science, Software Engineering

Local Prediction Models for Spatiotemporal Volume Visualization

Gleb Tkachev et al.

Summary: The proposed machine learning approach detects and visualizes complex behavior in spatiotemporal volumes by training models to predict future data values and evaluating prediction errors; Aggregating prediction errors and visualizing them highlights regions of interesting behavior; Applicable to datasets from various domains, meaningful results are produced with minimal assumptions.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2021)

Proceedings Paper Computer Science, Artificial Intelligence

SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization

Li Guo et al.

2020 IEEE PACIFIC VISUALIZATION SYMPOSIUM (PACIFICVIS) (2020)

Article Computer Science, Software Engineering

A Generative Model for Volume Rendering

Matthew Berger et al.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2019)

Article Computer Science, Software Engineering

Stippling of 2D Scalar Fields

Jochen Goertler et al.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2019)

Article Computer Science, Software Engineering

Luminance-Contrast-Aware Foveated Rendering

Okan Tarhan Tursun et al.

ACM TRANSACTIONS ON GRAPHICS (2019)

Article Computer Science, Software Engineering

Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning

Jun Han et al.

IEEE COMPUTER GRAPHICS AND APPLICATIONS (2019)

Article Computer Science, Software Engineering

Deep Adaptive Sampling for Low Sample Count Rendering

Alexandr Kuznetsov et al.

COMPUTER GRAPHICS FORUM (2018)

Proceedings Paper Computer Science, Artificial Intelligence

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis

Mehdi S. M. Sajjadi et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

Article Computer Science, Software Engineering

Weighted Linde-Buzo-Gray Stippling

Oliver Deussen et al.

ACM TRANSACTIONS ON GRAPHICS (2017)

Article Computer Science, Software Engineering

Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder

Chakravarty R. Alla Chaitanya et al.

ACM TRANSACTIONS ON GRAPHICS (2017)

Article Computer Science, Software Engineering

Globally and Locally Consistent Image Completion

Satoshi Iizuka et al.

ACM TRANSACTIONS ON GRAPHICS (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Christian Ledig et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Accurate Volume Rendering based on Adaptive Numerical Integration

Leonardo Quatrin Campagnolo et al.

2015 28TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection

Dongyoon Han et al.

2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2015)

Article Computer Science, Software Engineering

Importance Driven Environment Map Sampling

Thomas Bashford-Rogers et al.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2014)

Proceedings Paper Computer Science, Artificial Intelligence

Learning a Deep Convolutional Network for Image Super-Resolution

Chao Dong et al.

COMPUTER VISION - ECCV 2014, PT IV (2014)

Article Computer Science, Software Engineering

Foveated 3D Graphics

Brian Guenter et al.

ACM TRANSACTIONS ON GRAPHICS (2012)

Article Computer Science, Software Engineering

Total Variation Inpainting using Split Bregman

Pascal Getreuer

IMAGE PROCESSING ON LINE (2012)

Article Computer Science, Artificial Intelligence

Image quality assessment: From error visibility to structural similarity

Z Wang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)

Article Computer Science, Artificial Intelligence

Region filling and object removal by exemplar-based image inpainting

A Criminisi et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)