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pro vyhledávání: '"Sheng, Xuhan"'
With the popularity of social media platforms such as Instagram and TikTok, and the widespread availability and convenience of retouching tools, an increasing number of individuals are utilizing these tools to beautify their facial photographs. This
Externí odkaz:
http://arxiv.org/abs/2404.14177
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 i
Externí odkaz:
http://arxiv.org/abs/2404.10312
Autor:
Cheng, Ming, Ma, Haoyu, Ma, Qiufang, Sun, Xiaopeng, Li, Weiqi, Zhang, Zhenyu, Sheng, Xuhan, Zhao, Shijie, Li, Junlin, Zhang, Li
Multi-stage strategies are frequently employed in image restoration tasks. While transformer-based methods have exhibited high efficiency in single-image super-resolution tasks, they have not yet shown significant advantages over CNN-based methods in
Externí odkaz:
http://arxiv.org/abs/2305.05177
Autor:
Sun, Xiaopeng, Li, Weiqi, Zhang, Zhenyu, Ma, Qiufang, Sheng, Xuhan, Cheng, Ming, Ma, Haoyu, Zhao, Shijie, Zhang, Jian, Li, Junlin, Zhang, Li
360{\deg} omnidirectional images have gained research attention due to their immersive and interactive experience, particularly in AR/VR applications. However, they suffer from lower angular resolution due to being captured by fisheye lenses with the
Externí odkaz:
http://arxiv.org/abs/2304.13471