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cs.CV2025
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration
Yongzhen Wang, Yongjun Li, Zhuoran Zheng +2
Natural images are often degraded by complex, composite degradations such as rain, snow, and haze, which adversely impact downstream vision applications. While existing image resto…
cs.CV2025
Distribution-aware Dataset Distillation for Efficient Image Restoration
Zhuoran Zheng, Xin Su, Chen Wu +1
With the exponential increase in image data, training an image restoration model is laborious. Dataset distillation is a potential solution to this problem, yet current distillatio…
cs.CV2025
Bridge the Gap between SNN and ANN for Image Restoration
Xin Su, Chen Wu, Zhuoran Zheng
Models of dense prediction based on traditional Artificial Neural Networks (ANNs) require a lot of energy, especially for image restoration tasks. Currently, neural networks based…