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StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models
March 11, 2024, 4:44 a.m. | Lezhong Wang, Jeppe Revall Frisvad, Mark Bo Jensen, Siavash Arjomand Bigdeli
cs.CV updates on arXiv.org arxiv.org
Abstract: The demand for stereo images increases as manufacturers launch more XR devices. To meet this demand, we introduce StereoDiffusion, a method that, unlike traditional inpainting pipelines, is trainning free, remarkably straightforward to use, and it seamlessly integrates into the original Stable Diffusion model. Our method modifies the latent variable to provide an end-to-end, lightweight capability for fast generation of stereo image pairs, without the need for fine-tuning model weights or any post-processing of images. Using …
abstract arxiv cs.ai cs.cv demand devices diffusion diffusion model diffusion models free image image generation images inpainting latent diffusion models launch pipelines stable diffusion training type
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