1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.IV2020★ 1 cited
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
Siddharth Biswal, Peiye Zhuang, Ayis Pyrros +3
Deep generative models have enabled the automated synthesis of high-quality data for diverse applications. However, the most effective generative models are specialized to data fro…
cs.LG2019
Max-Sliced Wasserstein Distance and its use for GANs
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun +6
Generative adversarial nets (GANs) and variational auto-encoders have significantly improved our distribution modeling capabilities, showing promise for dataset augmentation, image…