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Combining diffusion models with image-to-image translation yields surprisingly realistic synthetic data, outperforming either method alone in closing the sim2real gap.
Achieve real-time photorealistic image enhancement without sacrificing visual quality or semantic consistency, thanks to a novel hybrid training strategy for GANs.
