April 18, 2024, 4:45 a.m. | Runyi Li, Xuhan Sheng, Weiqi Li, Jian Zhang

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.10312v2 Announce Type: replace
Abstract: Omnidirectional images (ODIs) are commonly used in real-world visual tasks, and high-resolution ODIs help improve the performance of related visual tasks. Most existing super-resolution methods for ODIs use end-to-end learning strategies, resulting in inferior realness of generated images and a lack of effective out-of-domain generalization capabilities in training methods. Image generation methods represented by diffusion model provide strong priors for visual tasks and have been proven to be effectively applied to image restoration tasks. Leveraging …

abstract arxiv capabilities cs.cv diffusion diffusion model domain eess.iv generated image images performance resolution stable diffusion strategies tasks type visual world zero-shot

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