6 papers
Msmsfnet: a multi-stream and multi-scale fusion net for edge detection
Chenguang Liu, Chisheng Wang, Feifei Dong +5
Edge detection is a long-standing problem in computer vision. Despite the efficiency of existing algorithms, their performance, however, rely heavily on the pre-trained weights of…
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…
AdaQual-Diff: Diffusion-Based Image Restoration via Adaptive Quality Prompting
Xin Su, Chen Wu, Yu Zhang +2
Restoring images afflicted by complex real-world degradations remains challenging, as conventional methods often fail to adapt to the unique mixture and severity of artifacts prese…
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…
Multi-Exposure Image Fusion via Distilled 3D LUT Grid with Editable Mode
Xin Su, Zhuoran Zheng
With the rising imaging resolution of handheld devices, existing multi-exposure image fusion algorithms struggle to generate a high dynamic range image with ultra-high resolution i…
TSFormer: A Robust Framework for Efficient UHD Image Restoration
Xin Su, Chen Wu, Zhuoran Zheng
Ultra-high-definition (UHD) image restoration is vital for applications demanding exceptional visual fidelity, yet existing methods often face a trade-off between restoration quali…