StyleSwin VS image-to-latex

Compare StyleSwin vs image-to-latex and see what are their differences.

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StyleSwin image-to-latex
1 2
462 1,929
0.0% -
0.0 0.0
about 1 year ago over 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

StyleSwin

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

image-to-latex

Posts with mentions or reviews of image-to-latex. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-24.

What are some alternatives?

When comparing StyleSwin and image-to-latex you can also consider the following projects:

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

a-PyTorch-Tutorial-to-Image-Captioning - Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Pytesseract-streamlit-interface - Webapp to retrieve text from image using OpenCV and Pytesseract

Anime2Sketch - A sketch extractor for anime/illustration.

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ArtGAN - ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

TFill - [CVPR 2022]: Bridging Global Context Interactions for High-Fidelity Image Completion

contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)