swin2sr VS FSRCNN-pytorch

Compare swin2sr vs FSRCNN-pytorch and see what are their differences.

swin2sr

Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr (by mv-lab)

FSRCNN-pytorch

PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016) (by yjn870)
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swin2sr FSRCNN-pytorch
2 1
527 197
- -
2.6 10.0
11 months ago over 2 years ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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swin2sr

Posts with mentions or reviews of swin2sr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-22.

FSRCNN-pytorch

Posts with mentions or reviews of FSRCNN-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing swin2sr and FSRCNN-pytorch you can also consider the following projects:

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement

super-image - Image super resolution models for PyTorch.

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

maxim - [CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

ilo - [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

maxim-pytorch - [CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim

stable-diffusion-webui - Stable Diffusion web UI

parseq - Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)