5 citations · 24 across the 18 of their papers we have counts for
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cs.CV2023
Cached Transformers: Improving Transformers with Differentiable Memory Cache
Zhaoyang Zhang, Wenqi Shao, Yixiao Ge +3
This work introduces a new Transformer model called Cached Transformer, which uses Gated Recurrent Cached (GRC) attention to extend the self-attention mechanism with a differentiab…
cs.CV2023★ 1 cited
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
Yitong Jiang, Zhaoyang Zhang, Tianfan Xue +1
We present AutoDIR, an innovative all-in-one image restoration system incorporating latent diffusion. AutoDIR excels in its ability to automatically identify and restore images suf…
cs.CV2023★ 2 cited
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising
Yujin Wang, Lingen Li, Tianfan Xue +1
Image denoising is a fundamental and challenging task in the field of computer vision. Most supervised denoising methods learn to reconstruct clean images from noisy inputs, which…