no code implementations • 19 Jul 2023 • Omri Ben-Dov, Pravir Singh Gupta, Victoria Abrevaya, Michael J. Black, Partha Ghosh
Generative Adversarial Networks (GANs) can produce high-quality samples, but do not provide an estimate of the probability density around the samples.
no code implementations • 23 Jun 2022 • Omri Ben-Dov, Pravir Singh Gupta, Victoria Fernandez Abrevaya, Michael J. Black, Partha Ghosh
Modern generative models are roughly divided into two main categories: (1) models that can produce high-quality random samples, but cannot estimate the exact density of new data points and (2) those that provide exact density estimation, at the expense of sample quality and compactness of the latent space.
1 code implementation • 31 Aug 2020 • Partha Ghosh, Pravir Singh Gupta, Roy Uziel, Anurag Ranjan, Michael Black, Timo Bolkart
Specifically, we condition StyleGAN2 on FLAME, a generative 3D face model.
no code implementations • 23 Sep 2019 • Pravir Singh Gupta, Xin Yuan, Gwan Seong Choi
Bearing these concerns in mind, we propose DRCAS (Deep Restoration network for hardware based Compressed Acquisition Scheme), which to our best knowledge, is the first work proposed in the literature for restoration of images acquired using acquisition scheme like HCAS.