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Found 5 papers, 1 papers with code
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device
This work presents the first neural video codec that decodes 1080p YUV420 video in real time on a mobile device.
Pulling back information geometry
Latent space geometry has shown itself to provide a rich and rigorous framework for interacting with the latent variables of deep generative models.
Density estimation on smooth manifolds with normalizing flows
We present a framework for learning probability distributions on topologically non-trivial manifolds, utilizing normalizing flows.
Variational Autoencoders with Riemannian Brownian Motion Priors
Variational Autoencoders (VAEs) represent the given data in a low-dimensional latent space, which is generally assumed to be Euclidean.
Towards Unsupervised Classification with Deep Generative Models
Deep generative models have advanced the state-of-the-art in semi-supervised classification, however their capacity for deriving useful discriminative features in a completely unsupervised fashion for classification in difficult real-world data sets, where adequate manifold separation is required has not been adequately explored.
