[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
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)
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
Image Colourization using Conditional Generative Adversarial Network
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