我自己的理解是，扩散模型中的 class-conditional image synthesis 是指在生成图像时，需要提供图像类别的...
Learning effective generative models for natural image synthesis is a promising way to reduce the dependence of deep models on massive training data. This work focuses on Fine-Grained Image Synthesis (FGIS) in the semi-supervised setting where a small number of training instances are labeled. ...
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...
class-conditional image synthesis 是一种可以生成具有特定类别特征的图像的方法。class-conditional image ...
Conditional Image Synthesis with Auxiliary Classifier GANs. In Proceedings of the International Conference on Machine Learning, Sydney, Australia, 6–11 August 2017; Volume 70, pp. 2642–2651. [Google Scholar] Nguyen, A.; Clune, J.; Bengio, Y.; Dosovitskiy, A.; Yosinski, J. Plug & play...
Conditional Image Synthesis with Auxiliary Classifier GANs. In Proceedings of the International Conference on Machine Learning, Sydney, Australia, 6–11 August 2017; Volume 70, pp. 2642–2651. [Google Scholar] Nguyen, A.; Clune, J.; Bengio, Y.; Dosovitskiy, A.; Yosinski, J. Plug & play...