文章首先说Vision Transformers(ViTs)在很多视觉任务上的性能上极大地抗衡甚至碾压CNN,出了图像分类,表示学习。还包括一些下游任务,比如目标检测,语义分割,图像恢复(image restoration)。 Why are ViTs super powerful? Some works believed thatmulti-head self-attention(MHSA) mechanism in ViTs plays a key roles. ...
Wild 作者: Fanghua Yu, Jinjin Gu, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong 论文链接: https://arxiv.org/abs/2401.13627 来源:arxiv2024 内容整理: 周楚骎 SUPIR(Scaling-UP Image Restoration)是一种突破性的图像修复方法,它利用了生成先验和模型的放大...
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections In this paper, we propose a very deep fully convolutional encoding-decoding framework for image restoration such as denoising and super-resolution. The net... XJ Mao,C Shen,YB Yang 被引量: 231...
Since the degradation of higher order sub-band information such as HF and VHF is more than the low and medium frequency information during an up-scaling process, restoration of the most degraded VHF sub-band information would produce much lesser blurring. Simulation results reveal that the ...
Docker image for SUPIR (Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild) - ashleykleynhans/supir-docker
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