AI RESEARCH
Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation
arXiv CS.CV
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ArXi:2606.01048v1 Announce Type: new We propose Decoupled Residual Denoising Diffusion models (DRDD) for unified and data-efficient image-to-image (I2I) translation. While diffusion models have advanced I2I translation in terms of quality and diversity, we uncover a previously under-explored property in diffusion models.