[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
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Updated
Oct 1, 2023 - Python
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Datasets, code and models from our driver gaze estimation works over the last few years.
Text to image synthesis with GAN-CLS and MSGAN
Conditional Cycle-Consistent Generative Adversarial Networks (CCycleGAN)
[NeurIPS 2022] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Image Colourization using Conditional Generative Adversarial Network
Implementation of some types of GANs (Deep convolutional GAN - Wasserstein GAN - conditional GAN) with PyTorch library
Use conditional-dcgans to generate realistic images of digits
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