[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.
Conditional Cycle-Consistent Generative Adversarial Networks (CCycleGAN)
Implementation of some types of GANs (Deep convolutional GAN - Wasserstein GAN - conditional GAN) with PyTorch library
Filter out malicious clients in Federated Learning with Conditional GAN.
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