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most citedRethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning

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cs.CV2026

Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation

Ziyue Lin, Jiahe Hou, Hongyu Xia +6

We propose Decoupled Residual Denoising Diffusion models (DRDD) for unified and data-efficient image-to-image (I2I) translation. While diffusion models have advanced I2I translatio…