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NAFSSR: Stereo Image Super-Resolution Using NAFNet - DeepAI
WebNAFNet 上述Baseline已经足够简单并且可以起到不错的复原效果了,那能否在保持模型不太不复杂的前提下,进一步的改进模型性能呢? 作者发现SOTA方法往往采用了GLU模块,并进一步提出了简化的GLU(sample Gate)和简化的通道注意力(simple channel attention) WebApr 9, 2024 · NAFNet_arch import NAFNet from basicsr. utils import FileClient, imfrombytes, img2tensor, tensor2img, imwrite from copy import deepcopy from torch. nn. … english ivy deer resistant
论文阅读:NAFNet(2024-ECCV) - KYZH - 博客园
Web概要. 画像復元(Image Restoration)のためのシンプルなベースラインモデルを提案。. しかし、本論文の最大の見どころは、UNetのようなシンプルなEncoder-Decoderネットワークの性能を保ちながら、非線形活性化関数を一切使わないモデルアーキテクチャであ … WebJun 20, 2024 · This paper inherits a strong and simple image restoration model, NAFNet, for single-view feature extraction and ex-tends it by adding cross attention modules to fuse features between views to adapt to binocular scenarios. The proposed baseline for stereo image super-resolution is noted as NAFSSR. WebApr 19, 2024 · This paper inherits a strong and simple image restoration model, NAFNet, for single-view feature extraction and extends it by adding cross attention modules to fuse … english ivy bunnings