Results 191 to 200 of about 145,741 (259)

Debondable phenoxy-based structural adhesives with β-amino amide containing reversible crosslinkers.

open access: yesRSC Appl Polym
Portone F   +5 more
europepmc   +1 more source

Face Sketch Synthesis by Multidomain Adversarial Learning

IEEE Transactions on Neural Networks and Learning Systems, 2019
Given a training set of face photo-sketch pairs, face sketch synthesis targets at learning a mapping from the photo domain to the sketch domain. Despite the exciting progresses made in the literature, it retains as an open problem to synthesize high-quality sketches against blurs and deformations.
Shengchuan Zhang, Rongrong Ji, Jie Hu
exaly   +4 more sources

Bayesian Face Sketch Synthesis

IEEE Transactions on Image Processing, 2017
Exemplar-based face sketch synthesis has been widely applied to both digital entertainment and law enforcement. In this paper, we propose a Bayesian framework for face sketch synthesis, which provides a systematic interpretation for understanding the common properties and intrinsic difference in different methods from the perspective of probabilistic ...
Nannan Wang, Xinbo Gao
exaly   +4 more sources

Cascaded Face Sketch Synthesis Under Various Illuminations

IEEE Transactions on Image Processing, 2020
Face sketch synthesis from a photo is of significant importance in digital entertainment. An intelligent face sketch synthesis system requires a strong robustness to lighting variations. Under uncontrolled lighting conditions in real-world settings, such a system will perform consistently well and have little restriction on the lighting conditions ...
Mingjin Zhang, Nannan Wang, Xinbo Gao
exaly   +4 more sources

Neural Probabilistic Graphical Model for Face Sketch Synthesis

IEEE Transactions on Neural Networks and Learning Systems, 2020
Neural network learning for face sketch synthesis from photos has attracted substantial attention due to its favorable synthesis performance. However, most existing deep-learning-based face sketch synthesis models stacked only by multiple convolutional layers without structured regression often lose the common facial structures, limiting their ...
Mingjin Zhang, Nannan Wang, Yunsong
exaly   +4 more sources

Face sketch synthesis: a survey

Multimedia Tools and Applications, 2021
Face sketch synthesis (FSS) has been widely applied to various computer vision tasks, such as criminal detection, information security, digital entertainment, etc. In the past several years, various FSS models with promising performance have been proposed. However, an in-depth understanding of these models in this topic remains lacking.
Hongbo Bi   +4 more
openaire   +2 more sources

Transductive Face Sketch-Photo Synthesis

IEEE Transactions on Neural Networks and Learning Systems, 2013
Face sketch-photo synthesis plays a critical role in many applications, such as law enforcement and digital entertainment. Recently, many face sketch-photo synthesis methods have been proposed under the framework of inductive learning, and these have obtained promising performance.
Nannan Wang, Dacheng Tao, Xinbo Gao
exaly   +3 more sources

Face Photo-Sketch Synthesis and Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009
In this paper, we propose a novel face photo-sketch synthesis and recognition method using a multiscale Markov Random Fields (MRF) model. Our system has three components: 1) given a face photo, synthesizing a sketch drawing; 2) given a face sketch drawing, synthesizing a photo; and 3) searching for face photos in the database based on a query sketch ...
Xiaogang Wang, Xiaoou Tang
exaly   +3 more sources

Face Sketch Synthesis Using Regularized Broad Learning System

IEEE Transactions on Neural Networks and Learning Systems, 2022
There are two main categories of face sketch synthesis: data- and model-driven. The data-driven method synthesizes sketches from training photograph-sketch patches at the cost of detail loss. The model-driven method can preserve more details, but the mapping from photographs to sketches is a time-consuming training process, especially when the deep ...
Ping Li, Bin Sheng, C. L. Philip Chen
openaire   +3 more sources

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