CcGAN-AVAR combines adaptive label vicinities with regression and density-ratio auxiliaries to make continuous conditional GANs robust to data imbalance while retaining one-step sampling.
PcDGAN: A continuous conditional diverse generative adversarial network for inverse design,
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Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinal Learning and Auxiliary Regularization
CcGAN-AVAR combines adaptive label vicinities with regression and density-ratio auxiliaries to make continuous conditional GANs robust to data imbalance while retaining one-step sampling.