Qingguo Liu — accepted AI-conference papers

2026

DVAR: Dynamic Visual Autoregressive Modeling for Image Super-Resolution

Yu Zheng, Kai Zhang, Wei Zhu, Qingguo Liu, Xiantao Hu, Jun Li +1

CVPR 2026

Next-scale prediction paradigm visual autoregressive (VAR) models have demonstrated significant potential for image super-resolution. However, their practical application is constrained by a rigid, size-specific design. This limitation stems from their reliance on memorizing fixed, absolute scaling

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2024

CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution

Qingguo Liu, Chenyi Zhuang, Pan Gao, Jie Qin

CVPR 2024poster

Existing Blind image Super-Resolution (BSR) methods focus on estimating either kernel or degradation information but have long overlooked the essential content details. In this paper we propose a novel BSR approach Content-aware Degradation-driven Transformer (CDFormer) to capture both degradation a…

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