Semi-Supervised Learning for Face Sketch Synthesis in the Wild

12 Dec 2018 Chaofeng Chen Wei Liu Xiao Tan Kwan-Yee K. Wong

Face sketch synthesis has made great progress in the past few years. Recent methods based on deep neural networks are able to generate high quality sketches from face photos... (read more)

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Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Face Sketch Synthesis CUFS Residual net + Pseudo Sketch Feature Loss + LSGAN FSIM 72.56% # 1
SSIM 54.63% # 1
Face Sketch Synthesis CUFSF Residual net + Pseudo Sketch Feature Loss + LSGAN FSIM 71.59% # 3
SSIM 40.85% # 1
Face Sketch Synthesis CUHK Residual net + Pseudo Sketch Feature Loss + LSGAN SSIM 63.28% # 1
FSIM 74.23% # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet