STEREODIFFUSION introduces a novel method called StereoDiffusion for generating stereo image pairs using latent diffusion models. Unlike traditional methods, this approach is training-free and seamlessly integrates into the Stable Diffusion model. By modifying the latent variable, it enables fast generation of stereo images with high quality. The method ensures consistency between left and right images through various techniques like Symmetric Pixel Shift Masking Denoise and Self-Attention Layers Modification. This innovative approach achieves state-of-the-art scores in quantitative evaluations on various datasets.
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