15 citations · 19 across the 8 of their papers we have counts for
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cs.CV2024★ 1 cited
Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors
Aiping Zhang, Zongsheng Yue, Renjing Pei +2
Diffusion-based image super-resolution (SR) methods have achieved remarkable success by leveraging large pre-trained text-to-image diffusion models as priors. However, these method…
cs.CV2024★ 2 cited
DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement
Shangquan Sun, Wenqi Ren, Jingyang Peng +2
Many existing methods for low-light image enhancement (LLIE) based on Retinex theory ignore important factors that affect the validity of this theory in digital imaging, such as no…
cs.CV2024★ 1 cited
How Powerful Potential of Attention on Image Restoration?
Cong Wang, Jinshan Pan, Yeying Jin +5
Transformers have demonstrated their effectiveness in image restoration tasks. Existing Transformer architectures typically comprise two essential components: multi-head self-atten…