WebIn this work, we present a multi-axis MLP based architecture called MAXIM, that can serve as an efficient and flexible general-purpose vision backbone for image processing tasks. … WebIn this work we present a multi-axis MLP based architecture, called MAXIM, that can serve as an efficient and flexible general-purpose vision backbone for image processing …
CVPR 2024 Open Access Repository
Web29 mrt. 2024 · MAXIM: Multi-Axis MLP for Image Processing (CVPR 2024 Oral, Best Paper Nomination) This repo hosts the official implementation of the MAXIM models: "MAXIM: Multi-Axis MLP for Image Processing". CVPR 2024 Oral. Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, and Yinxiao Li Web23 jul. 2014 · MAXIM: Multi-Axis MLP for Image Processing. 1 code implementation • CVPR 2024. In this work, we present a multi-axis MLP based architecture called MAXIM, that can serve as an efficient and flexible general-purpose vision backbone for image processing tasks. Ranked #1 on Deblurring on RealBlur-J (using extra training data) … fiction books set in philadelphia
MAXIM: Multi-Axis MLP for Image Processing - 知乎 - 知乎专栏
Web9 jan. 2024 · In this work we present a multi-axis MLP based architecture, called MAXIM, that can serve as an efficient and flexible general-purpose vision backbone for image processing tasks. MAXIM uses a UNet-shaped hierarchical structure and supports long-range interactions enabled by spatially-gated MLPs. Specifically, MAXIM contains two … WebMAXIM: Multi-Axis MLP for Image Processing [Paper Review] 910 views. Feb 21, 2024. 16 Dislike Share Save. 52hz. 67 subscribers. [Paper Review] I'm studying the computer … WebHowever, efficacy and efficiency of these models for low-level vision tasks have not been studied extensively. In this paper, we present MAXIM, a general image processing architecture with multi-axis gated MLPs, to advance the possibility of global operators for low-level vision. Our single-stage MAXIM backbone shares a UNet-shaped hierarchy ... fiction books set in minnesota