3.1k citations · 4.5k across the 9 of their papers we have counts for
3 papers · 2 filters
Deep Image Prior
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
Deep convolutional networks have become a popular tool for image generation and restoration. Generally, their excellent performance is imputed to their ability to learn realistic i…
It Takes (Only) Two: Adversarial Generator-Encoder Networks
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
We present a new autoencoder-type architecture that is trainable in an unsupervised mode, sustains both generation and inference, and has the quality of conditional and uncondition…
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
The recent work of Gatys et al., who characterized the style of an image by the statistics of convolutional neural network filters, ignited a renewed interest in the texture genera…