Title | ||
---|---|---|
Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis. |
Abstract | ||
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Face sketch synthesis is a crucial issue in digital entertainment and law enforcement. It can bridge the considerable texture discrepancy between face photos and sketches. Most of the current face sketch synthesis approaches directly to learn the relationship between the photos and sketches, and it is very difficult for them to generate the individual specific features, which we call rare characte... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TIP.2018.2870936 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Face,Training,Dictionaries,Manifolds,Machine learning,Geometry,Transforms | Computer vision,Residual,Graph,Locality,Data space,Pattern recognition,Compact space,Artificial intelligence,Deep learning,Manifold,Mathematics,Sketch | Journal |
Volume | Issue | ISSN |
28 | 2 | 1057-7149 |
Citations | PageRank | References |
2 | 0.35 | 31 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Junjun Jiang | 1 | 1138 | 74.49 |
Yi Yu | 2 | 440 | 42.53 |
Zheng Wang | 3 | 352 | 36.33 |
Xianming Liu | 4 | 461 | 47.55 |
Jiayi Ma | 5 | 1302 | 65.86 |