Search Results for author: Xueyi Zou

Found 16 papers, 9 papers with code

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning

no code implementations CVPR 2024 Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Haoze Sun, Xueyi Zou, Zhensong Zhang, Youliang Yan, Lei Zhu

Leveraging unseen LR images for self-supervised learning guides the model to adapt its modeling space to the target domain, facilitating fine-tuning of SR models without requiring paired high-resolution (HR) images.

Image Super-Resolution Self-Supervised Learning

CoSeR: Bridging Image and Language for Cognitive Super-Resolution

1 code implementation CVPR 2024 Haoze Sun, Wenbo Li, Jianzhuang Liu, Haoyu Chen, Renjing Pei, Xueyi Zou, Youliang Yan, Yujiu Yang

We achieve this by marrying image appearance and language understanding to generate a cognitive embedding, which not only activates prior information from large text-to-image diffusion models but also facilitates the generation of high-quality reference images to optimize the SR process.

Super-Resolution

AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions

no code implementations5 May 2023 Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Jianzhuang Liu, Youliang Yan

In recent years, videos and images in 720p (HD), 1080p (FHD) and 4K (UHD) resolution have become more popular for display devices such as TVs, mobile phones and VR.

4k Super-Resolution

A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution

no code implementations15 Oct 2022 Hengsheng Zhang, Xueyi Zou, Jiaming Guo, Youliang Yan, Rong Xie, Li Song

In this paper, considering the characteristics of compressed videos, we propose a Codec Information Assisted Framework (CIAF) to boost and accelerate recurrent VSR models for compressed videos.

Motion Estimation Optical Flow Estimation +1

Verification and Control of Partially Observable Probabilistic Real-Time Systems

no code implementations21 Jun 2015 Gethin Norman, David Parker, Xueyi Zou

We then propose techniques to either verify that such a property holds or to synthesise a controller for the model which makes it true.

Logic in Computer Science Systems and Control

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