30 citations · 91 across the 44 of their papers we have counts for
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cs.CV2020★ 2 cited
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
Sameera Ramasinghe, Moshiur Farazi, Salman Khan +2
Conditional GANs (cGAN), in their rudimentary form, suffer from critical drawbacks such as the lack of diversity in generated outputs and distortion between the latent and output m…
cs.LG2020★ 1 cited
Conditional Generative Modeling via Learning the Latent Space
Sameera Ramasinghe, Kanchana Ranasinghe, Salman Khan +2
Although deep learning has achieved appealing results on several machine learning tasks, most of the models are deterministic at inference, limiting their application to single-mod…