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Title
Deep residual network for face sketch synthesis
Authors
Keywords
Face sketch synthesis, Deep learning, Residual learning, Convolutional neural networks
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 190, Issue -, Pages 115980
Publisher
Elsevier BV
Online
2021-10-16
DOI
10.1016/j.eswa.2021.115980
References
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Related references
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- (2019) Feng Sha et al. EXPERT SYSTEMS WITH APPLICATIONS
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- Robust face pseudo-sketch synthesis and recognition using morphological-arithmetic operations and HOG-PCA
- (2018) Abduljalil Radman et al. MULTIMEDIA TOOLS AND APPLICATIONS
- AAM Based Face Sketch Synthesis
- (2018) Shengchuan Zhang et al. NEURAL PROCESSING LETTERS
- Random sampling for fast face sketch synthesis
- (2018) Nannan Wang et al. PATTERN RECOGNITION
- A modified convolutional neural network for face sketch synthesis
- (2018) Licheng Jiao et al. PATTERN RECOGNITION
- Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis
- (2018) Junjun Jiang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Markov random fields and facial landmarks for handling uncontrolled images of face sketch synthesis
- (2018) Abduljalil Radman et al. PATTERN ANALYSIS AND APPLICATIONS
- Face Sketch Synthesis by Multidomain Adversarial Learning
- (2018) Shengchuan Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Anchored Neighborhood Index for Face Sketch Synthesis
- (2017) Nannan Wang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning
- (2017) Dongyu Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- (2017) Kai Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Data-driven vs. model-driven: Fast face sketch synthesis
- (2017) Nannan Wang et al. NEUROCOMPUTING
- Face Photo-Sketch Synthesis and Recognition
- (2008) Xiaogang Wang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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