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ShinkaiGAN is an image-to-image translation model designed to transform sketch images into beautiful anime scenes inspired by the style of Makoto Shinkai. This model utilizes a Hybrid Perception Block U-Net architecture to achieve high-quality image-to-image translation.

License: Other

Python 100.00%
computer-vision gan generative-model image-colorization image-generation unet

shinkaigan's Introduction

Hello, I'm Kevin

I'm an artificial intelligence researcher and CEO of Avalon AI.

echelon2718

  • 🌱 I’m currently learning LLMs, RAG, KnowledgeGraphDB, VectorDB, and Diffusion Models

  • 👯 I’m looking to collaborate on ShinkaiGAN

  • 💬 Ask me about AI, Deep Learning, Python, Pytorch, Tensorflow, ML Deployments

  • 📫 Reach me via [email protected]

Connect with me:

https://www.linkedin.com/in/kevin-putra-santoso/ https://www.kaggle.com/kevinputrasantoso https://www.youtube.com/channel/ucawztg0qchde0lzpg10gbqg

Languages and Tools:

docker javascript mongodb mysql opencv pandas python pytorch scikit_learn seaborn tensorflow llamaindex neo4j

echelon2718

 echelon2718

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