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...
We present a method for projecting an input image into the space of a class-conditional generative neural network. We propose a method that optimizes for transformation to counteract the model biases in generative neural networks. Specifically, we demons
We propose to reward the generation of malicious samples by introducing an extra objective to the typical Generative Adversarial Networks (GANs) loss. ... R Pereira,J Bono,JT Ascenso,... - 《Arxiv》 被引量: 0发表: 2023年 A new method for GAN-based data augmentation for classes with dist...
Image2stylegan++: How to edit the embedded images? Z. Cai et al. Building Facade Completion Using Semantic-Synchronized GANView more references Cited by (1) 3D Point Cloud Shape Generation with Collaborative Learning of Generative Adversarial Network and Auto-Encoder 2024, Remote SensingView...
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...
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 ...
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 ...
In this paper, we devise a novel conditional normalizing flow model that achieves both conditional image generation and classification. The main contribution of our method consists in learning untangled continuums of gaussian distributions in the latent space that maximize the discrimination power of the...
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 ...
在上述工作的基础上，OpenAI于2022年发表了论文《GLIDE: Towards Photorealistic Image Generation and ...