Author

Zhang-Yang Wang

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Preprint Sep 2026

Restore What Matters: Lessons from Joint Restoration and Recognition

Recognition pipelines typically adopt a restore-then-recognize workflow, yet decades of experience show that generating visually pleasing images seldom translates to improved recognition. We propose a Joint Restoration-for-Recognition (JR$^2$) paradigm: restore only what downstream tasks truly require, with task signal...

Lan-Qing Guo, Xi-Jun Wang, Minchul Kim et al. · 0 citations

#machine learning Preprint Sep 2026

Revisiting Spectral Representations in Generative Diffusion Models

This paper investigates the connection between self-supervised spectral representation learning and diffusion generative models through a shared perspective on perturbation kernels and finds that the optimization of the spectral alignment objective is in an equivalent form of diffusion score distillation in the represe...

Yuehao Wang, Peihao Wang, Hanwen Jiang et al. · 0 citations