Results 21 to 30 of about 60,426 (219)

Fast Preprocessing for Robust Face Sketch Synthesis [PDF]

, 2017
Exemplar-based face sketch synthesis methods usually meet the challenging problem that input photos are captured in different lighting conditions from training photos. The critical step causing the failure is the search of similar patch candidates for an
Bao, Linchao, Song, Yibing, Yang, Qingxiong, Zhang, Jiawei   +3 more
core   +1 more source

FaceShop: Deep Sketch-based Face Image Editing [PDF]

, 2018
We present a novel system for sketch-based face image editing, enabling users to edit images intuitively by sketching a few strokes on a region of interest.
Bigdeli, Siavash Arjomand, Favaro, Paolo, Hu, Qiyang, Portenier, Tiziano, Szabó, Attila, Zwicker, Matthias   +5 more
core   +2 more sources

Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval [PDF]

, 2018
In this paper we address the problem of learning robust cross-domain representations for sketch-based image retrieval (SBIR). While most SBIR approaches focus on extracting low- and mid-level descriptors for direct feature matching, recent works have ...
Alameda-Pineda, Xavier, Ricci, Elisa, Sebe, Nicu, Song, Jingkuan, Xu, Dan   +4 more
core   +3 more sources

End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning

, 2015
Sketch-based face recognition is an interesting task in vision and multimedia research, yet it is quite challenging due to the great difference between face photos and sketches.
Ding, Shengyong, Lin, Liang, Wu, Xian, Zhang, Lei, Zhang, Liliang   +4 more
core   +1 more source

High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks

, 2018
Synthesizing face sketches from real photos and its inverse have many applications. However, photo/sketch synthesis remains a challenging problem due to the fact that photo and sketch have different characteristics. In this work, we consider this task as
Patel, Vishal M., Sindagi, Vishwanath A., Wang, Lidan   +2 more
core   +1 more source

Face Sketch Matching via Coupled Deep Transform Learning

, 2017
Face sketch to digital image matching is an important challenge of face recognition that involves matching across different domains. Current research efforts have primarily focused on extracting domain invariant representations or learning a mapping from
Majumdar, Angshul, Nagpal, Shruti, Noore, Afzel, Singh, Maneet, Singh, Richa, Vatsa, Mayank   +5 more
core   +1 more source

Deep Sketch-Photo Face Recognition Assisted by Facial Attributes

, 2018
In this paper, we present a deep coupled framework to address the problem of matching sketch image against a gallery of mugshots. Face sketches have the essential in- formation about the spatial topology and geometric details of faces while missing some ...
Dabouei, Ali, Iranmanesh, Seyed Mehdi, Kazemi, Hadi, Nasrabadi, Nasser M., Soleymani, Sobhan   +4 more
core   +1 more source

Learning from Synthetic Data Using a Stacked Multichannel Autoencoder

, 2015
Learning from synthetic data has many important and practical applications. An example of application is photo-sketch recognition. Using synthetic data is challenging due to the differences in feature distributions between synthetic and real data, a ...
Agam, Gady, Fu, Yanwei, Jiang, Shanshan, Sigal, Leonid, Zhang, Xi   +4 more
core   +1 more source

Conserved structural motifs in PAS, LOV, and CRY proteins regulate circadian rhythms and are therapeutic targets

FEBS Letters, EarlyView.
Cryptochrome and PAS/LOV proteins play intricate roles in circadian clocks where they act as both sensors and mediators of protein–protein interactions. Their ubiquitous presence in signaling networks has positioned them as targets for small‐molecule therapeutics. This review provides a structural introduction to these protein families.
Eric D. Brinckman, Anna E. Lester, Brian D. Zoltowski   +2 more
wiley   +1 more source

Attribute-Guided Sketch Generation

, 2019
Facial attributes are important since they provide a detailed description and determine the visual appearance of human faces. In this paper, we aim at converting a face image to a sketch while simultaneously generating facial attributes.
Chen, Xinya, Corso, Jason J., Sebe, Nicu, Tang, Hao, Wang, Wei, Xu, Dan, Yan, Yan   +6 more
core   +1 more source