[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
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Updated
Jun 5, 2024 - Python
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
[CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)
Anime face generation: from simple GAN to GauGAN Conditional Generation
Portrait Drawing Generation, ICME 2021, BEST DEMO RUNNER UP AWARD
Generative adversarial network is used to train neural network model to create real image from drawing. Pix2pix tensor flow code is refereed and paint tool is created to interpret trained model results
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