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Hai-Ying Zhang

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Open access Aug 2026

Residual block-based complexity-aware neural ODE fusion for image super-resolution

This paper proposes Adaptive ODE-ResNet (Adaptive ODE-ResNet), which reconstructs the residual block into a continuous ODE-driven process to realize flexible and accurate feature evolution and provides an accurate, efficient and scalable continuous-time modeling scheme for high-resolution image reconstruction.

Hai-Ying Zhang, Liangping Tu · 0 citations

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