parseq VS swin2sr

Compare parseq vs swin2sr and see what are their differences.

swin2sr

[ECCV] 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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parseq swin2sr
1 2
501 534
- -
6.7 2.6
23 days ago 11 months ago
Python Python
Apache License 2.0 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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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 👍🏻

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.

What are some alternatives?

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

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

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

tesserocr - A Python wrapper for the tesseract-ocr API

super-image - Image super resolution models for PyTorch.

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

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

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

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