Related references
Note: Only part of the references are listed.A Sliced Wasserstein Loss for Neural Texture Synthesis
Eric Heitz et al.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)
Generative Adversarial Networks
Ian Goodfellow et al.
COMMUNICATIONS OF THE ACM (2020)
A Deep Neural Network Combined CNN and GCN for Remote Sensing Scene Classification
Jiali Liang et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)
Image Inpainting Using Nonlocal Texture Matching and Nonlinear Filtering
Ding Ding et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
InGAN: Capturing and Retargeting the DNA of a Natural Image
Assaf Shocher et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Non-Stationary Texture Synthesis by Adversarial Expansion
Yang Zhou et al.
ACM TRANSACTIONS ON GRAPHICS (2018)
Matching Pixels using Co-Occurrence Statistics
Rotal Kat et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
Co-Occurrence Filter
Roy J. Jevnisek et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Visual Translation Embedding Network for Visual Relation Detection
Hanwang Zhang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Describing Textures in the Wild
Mircea Cimpoi et al.
2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2014)
Random Phase Textures: Theory and Synthesis
Bruno Galerne et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2011)
The Graph Neural Network Model
Franco Scarselli et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2009)
A parametric texture model based on joint statistics of complex wavelet coefficients
J Portilla et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2000)
Share Paper
