Feb 4, 2024 · In response to these challenges, we introduce the Key-Graph Transformer (KGT) in this paper. Specifically, KGT views patch features as graph ...

This proposes a graph based method to capture strong neighborhood cues from images and make them amenable to be fed to a transformer based model. The Q to K ...

It is widely acknowledged that capturing non-local information among pixels within one input image is crucial for effective image restoration (IR). However,.

Feb 4, 2024 · In this paper, we integrate graph properties into ViTs by employ- ing a Key-Graph for efficient capture of effective non-local priors for IR. 3.

2022. Key-Graph Transformer for Image Restoration. B Ren, Y Li, J Liang, R Ranjan, M Liu, R Cucchiara, L Van Gool, N Sebe. arXiv preprint arXiv:2402.02634 ...

(arXiv 2023.12) ViStripformer: A Token-Efficient Transformer for Versatile Video Restoration, [Paper]; (arXiv 2024.02) Key-Graph Transformer for Image ...

Self-attention can be described as mapping a query and a set of key-value pairs to an out- put, where the query, keys and values are obtained from linear ...

In this work, we propose an efficient Transformer model by making sev- eral key designs in the building blocks (multi-head atten-.

Sharing Key Semantics in Transformer Makes Efficient Image Restoration · Image Restoration ; Key-Graph Transformer for Image Restoration · Graph Attention · Image ...