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SketchCLIP: Text-based Attribute Manipulation for Face Sketch Synthesis

2022 IEEE International Joint Conference on Biometrics (IJCB), 2022
This paper proposes a method of modifying the face sketch with text descriptions. Face sketch is widely used in the criminal field and digital entertainment field.
Meng Dong   +5 more
semanticscholar   +1 more source

Knowledge Distillation for Face Photo–Sketch Synthesis

IEEE Transactions on Neural Networks and Learning Systems, 2022
Significant progress has been made with face photo-sketch synthesis in recent years due to the development of deep convolutional neural networks, particularly generative adversarial networks (GANs). However, the performance of existing methods is still limited because of the lack of training data (photo-sketch pairs).
Mingrui Zhu   +3 more
openaire   +2 more sources

Robust Face Sketch Style Synthesis

IEEE Transactions on Image Processing, 2016
Heterogeneous image conversion is a critical issue in many computer vision tasks, among which example-based face sketch style synthesis provides a convenient way to make artistic effects for photos. However, existing face sketch style synthesis methods generate stylistic sketches depending on many photo-sketch pairs.
, Shengchuan Zhang   +3 more
openaire   +2 more sources

Deep Latent Low-Rank Representation for Face Sketch Synthesis

IEEE Transactions on Neural Networks and Learning Systems, 2019
Face sketch synthesis is useful and profitable in digital entertainment. Most existing face sketch synthesis methods rely on the assumption that facial photographs/sketches form a low-dimensional manifold.
Mingjin Zhang, Nannan Wang, Xinbo Gao
exaly   +2 more sources

High-Quality Face Sketch Synthesis via Geometric Normalization and Regularization

IEEE International Conference on Multimedia and Expo, 2021
In this work, we propose a novel Generative Adversarial Network for generating a structure-consistent and texture-realistic sketch, conditioned on a face photo.
Xiang Li, Fei Gao, Fei Huang
semanticscholar   +1 more source

Face Sketch Synthesis in the Wild via Deep Patch Representation-Based Probabilistic Graphical Model

IEEE Transactions on Information Forensics and Security, 2020
This paper considers the problem of face sketch synthesis in the wild, which transforms a face photo into a face sketch. Face sketch synthesis is widely applied in law enforcement as well as digital entertainment fields.
Chunlei Peng, Nannan Wang, Xinbo Gao
exaly   +2 more sources

AAM Based Face Sketch Synthesis

Neural Processing Letters, 2018
Face sketch synthesis has many practical applications, such as law enforcement and digital entertainment. Existing face sketch synthesis methods focus on neighbor selection and/or weight reconstruction. However, these approaches did not take “interpretation through synthesis” into consideration obviously.
Shengchuan Zhang, Rongrong Ji
openaire   +1 more source

Face image-sketch synthesis via generative adversarial fusion

Neural Networks, 2022
Face image-sketch synthesis is widely applied in law enforcement and digital entertainment fields. Despite the extensive progression in face image-sketch synthesis, there are few methods focusing on generating a color face image from a sketch. The existing methods pay less attention to learning the illumination or highlight distribution on the face ...
Jianyuan Sun   +5 more
openaire   +2 more sources

Local face sketch synthesis learning

Neurocomputing, 2008
Facial sketch synthesis (FSS) is crucial in sketch-based face recognition. This paper proposes an automatic FSS algorithm with local strategy based on embedded hidden Markov model (E-HMM) and selective ensemble (SE). By using E-HMM to model the nonlinear relationship between a photo-sketch patch pair, a series of pseudo-sketch patches, generated based ...
Xinbo Gao   +3 more
openaire   +1 more source

Ai-Powered Pencil Strokes: Face Sketch Synthesis Using Cyclegan and Style Transfer

International Congress on Information and Communication Technology
This paper introduces an AI-driven framework for face sketch synthesis using Cycle Generative Adversarial Networks (CycleGAN), enhanced with a style transfer module to improve the perceptual quality of generated sketches.
Sighakolli Dheeraj Venkata Sai   +4 more
semanticscholar   +1 more source

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