swin2sr VS parseq

Compare swin2sr vs parseq 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)
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swin2sr parseq
2 1
527 500
- -
2.6 6.7
11 months ago 12 days ago
Python Python
Apache License 2.0 Apache License 2.0
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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.

parseq

Posts with mentions or reviews of parseq. We have used some of these posts to build our list of alternatives and similar projects.
  • need help for license plate number segmentation
    1 project | /r/deeplearning | 31 May 2023
    I really recommend the usage of scene text recognition models. They are perfect for these type of usecases: https://github.com/baudm/parseq or check https://paperswithcode.com/task/scene-text-recognition make sure to check the licenses and good luck 👍🏻

What are some alternatives?

When comparing swin2sr and parseq you can also consider the following projects:

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

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

super-image - Image super resolution models for PyTorch.

tesserocr - A Python wrapper for the tesseract-ocr API

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

edenai-apis - Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines

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

doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

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

image-to-sound-python- - A python project for converting an Image into audible sound using OCR and speech synthesis

FSRCNN-pytorch - PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

DocumentLab - OCR using tesseract, ImageMagick, EmguCV, an advanced query language and a fluent query interface for C#