ChristophReich1996/Semantic_Pyramid_for_Image_Generation
PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].
This tool helps researchers and computer vision practitioners explore advanced image generation. It takes a pre-trained VGG-16 network and the Places365 dataset as input to generate new images based on semantic understanding. Users interested in generative models and image synthesis would find this useful.
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Use this if you are a computer vision researcher experimenting with generative adversarial networks (GANs) for semantic image synthesis.
Not ideal if you need a production-ready solution for generating images or if you lack experience with deep learning model training.
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47
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6
Language
Python
License
MIT
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Last pushed
Mar 28, 2022
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