Proposes generative guiding blocks with appearance-preserving and variation-transforming discriminators to enable realistic image synthesis under large change demands in generative models.
The pro- posed GGB consisted of two critic networks which were RAPD for maintaining the appearance characteristic and NVTD for applying the target variants
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Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands
Proposes generative guiding blocks with appearance-preserving and variation-transforming discriminators to enable realistic image synthesis under large change demands in generative models.