2026
ProReGen: Progressive Residual Generation under Attribute Correlations
ICLR 2026poster
Attribute correlations in the training data will compromise the ability of a deep generative model (DGM) to synthesize images with under-represented attribute combinations ($\textit{i.e.,}$ minority samples). Existing approaches mitigate this by data re-sampling to remove attribute correlations seen…