Face Sketch Synthesis
10 papers with code • 5 benchmarks • 6 datasets
Face sketch synthesis is the task of generating a sketch from an input face photo.
( Image credit: High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks )
Benchmarks
These leaderboards are used to track progress in Face Sketch Synthesis
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CUHK03
Multi-Modal CelebA-HQ
CUFSF
CUFS
FS2K
SKSF-A
Latest papers with no code
semantic neural model approach for face recognition from sketch
Face sketch synthesis and reputation have wide range of packages in law enforcement.
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis
Furthermore, we design a novel Memory Refinement Loss (MR Loss) for feature alignment in the memory module, which enhances the accuracy of memory slots in an unsupervised manner.
Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and A New Benchmark
Face sketch generation has attracted much attention in the field of visual computing.
Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network
To tackle these challenges, we propose a novel Semantic-Driven Generative Adversarial Network (SDGAN) which embeds global structure-level style injection and local class-level knowledge re-weighting.
Fast Preprocessing for Robust Face Sketch Synthesis
Exemplar-based face sketch synthesis methods usually meet the challenging problem that input photos are captured in different lighting conditions from training photos.
Random Sampling for Fast Face Sketch Synthesis
The most time-consuming or main computation complexity for exemplar-based face sketch synthesis methods lies in the neighbor selection process.
Training-Free Synthesized Face Sketch Recognition Using Image Quality Assessment Metrics
In this paper, we proposed a synthesized face sketch recognition framework based on full-reference image quality assessment metrics.
