image-to-latex VS StyleSwin

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

image-to-latex

Convert images of LaTex math equations into LaTex code. (by kingyiusuen)
Pytorch Deep Learning Transformer encoder-decoder streamlit-webapp Latex end-to-end-machine-learning Computer Vision
Source Code
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StyleSwin

[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation (by microsoft)
Computer Vision Deep Learning deep-neural-networks Pytorch generative-adversarial-network Gans image-generation image-synthesis styleswin Transformer
Source Code
arxiv.org
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image-to-latex StyleSwin
2 1
1,929 462
- 0.0%
0.0 0.0
over 1 year ago about 1 year ago
Python Python
MIT License MIT License
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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.

StyleSwin

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

What are some alternatives?

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

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

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

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

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

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

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

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

Anime2Sketch - A sketch extractor for anime/illustration.

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

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”.

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)

image-to-latex vs a-PyTorch-Tutorial-to-Image-Captioning StyleSwin vs pix2pixHD image-to-latex vs LaTeX-OCR StyleSwin vs pytorch-CycleGAN-and-pix2pix image-to-latex vs Pytesseract-streamlit-interface StyleSwin vs anycost-gan image-to-latex vs transformers StyleSwin vs Anime2Sketch image-to-latex vs flow-forecast StyleSwin vs ArtGAN StyleSwin vs TFill StyleSwin vs contrastive-unpaired-translation