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Semantic Image Synthesis on NYU (test)

91.4Preference RateCascaded Refinement Network
64.77671.68878.685.512Jul 28, 2017

Evaluation results

MethodLinks
Cascaded Refinement NetworkBaseline compared against=Image-space loss2017.0791.4
Cascaded Refinement NetworkBaseline compared against=GAN+SemSeg2017.0782.3
Cascaded Refinement NetworkBaseline compared against=Isola et al. [16]2017.0777.2
Cascaded Refinement NetworkBaseline compared against=Encoder-decoder2017.0771.2
Cascaded Refinement NetworkBaseline compared against=Full-resolution network2017.0765.8