扩散模型中的class-conditional image synthesis是指在生成图像时，同时指定图像的类别。例如，可以指定生成...
Our model is designed with unique neural network structures, image features and training method. To validate the performance of our model, we utilized it in Chinese handwriting generation, and an evaluation method called mean opinion score (MOS) was used. The MOS results show that MSMC-CGAN ...
4, Use the seconde Discriminator D1 Another case: transform from 1 image to another, with a certain goal. For traditional supervised approach, the output image is blurry, because it's the average of several images. Image generated by generator has to be not only clear enough to pass discrim...
In this paper, we propose a new model for conditional video generation (GammaGAN). Generally, it is challenging to generate a plausible video from a single image with a class label as a condition. Traditional methods based on conditional generative adversarial networks (cGANs) often encounter ...
ContraGAN: Contrastive Learning for Conditional Image Generation. In Proceedings of the Advances in Neural Information Processing Systems, Vancouver, BC, Canada, 6–12 December 2020; pp. 1–13. [Google Scholar] Ding, X.; Wang, Y.; Xu, Z.; Welch, W.J.; Wang, Z.J. CcGAN: Continuous ...