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selfieart

SelfieArt: Interactive Multi-Style Transfer for Selfies and Videos with Soft Transitions

https://github.com/lucasalegre/selfieart

Science Score: 44.0%

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    Found CITATION.cff file
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    Found codemeta.json file
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    Scientific vocabulary similarity
    Low similarity (4.4%) to scientific vocabulary

Keywords

face-parsing multi-style-transfer style-transfer
Last synced: 8 months ago · JSON representation ·

Repository

SelfieArt: Interactive Multi-Style Transfer for Selfies and Videos with Soft Transitions

Basic Info
  • Host: GitHub
  • Owner: LucasAlegre
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 60.9 MB
Statistics
  • Stars: 8
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
face-parsing multi-style-transfer style-transfer
Created over 5 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

SelfieArt

SelfieArt: Interactive Multi-Style Transfer for Selfies and Videos with Soft Transitions

Install

We recommend the use of our conda environment: conda env create -f environment.yml

Run

To run SelfieArt GUI application: python run.py

Acknowledgements

Code for SelfieArt is built on top of:

Citation

@InProceedings{AlegreOliveira2020, author = {Alegre, Lucas N. and Oliveira, Manuel M.}, title = {SelfieArt: Interactive Multi-Style Transfer for Selfies and Videos with Soft Transitions}, booktitle = {Proceedings of the 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images}, year = {2020} }

Owner

  • Name: Lucas Alegre
  • Login: LucasAlegre
  • Kind: user
  • Location: Porto Alegre
  • Company: Institute of Informatics - UFRGS

PhD student at Institute of Informatics - UFRGS. Interested in reinforcement learning, machine learning and artificial (neuro-inspired) intelligence.

Citation (CITATION.bib) 

@InProceedings{Alegre&Oliveira2020,
  author    = {Alegre, Lucas N. and Oliveira, Manuel M.},
  title     = {SelfieArt: Interactive Multi-Style Transfer for Selfies and Videos with Soft Transitions},
  booktitle = {Proceedings of the 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images},
  year      = {2020}
}

GitHub Events

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Last synced: 9 months ago

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  • Total Commits: 5
  • Total Committers: 1
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.0
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  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
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Lucas Alegre l****e@g****m 5

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Past Year
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