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Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

Published on Oct 24, 20161475 Views

Chuan Li

This paper proposes Markovian Generative Adversarial Networks (MGANs), a method for training generative neural networks for efficient texture synthesis. While deep neural network approaches have recen

ECCV 2016 - Amsterdam

Related categories

Computer Vision

Chapter list

Deep Texture Synthesis - 100:21
Deep Texture Synthesis - 200:39
Generative Adversarial Networks - 100:50
Generative Adversarial Networks - 201:05
Generative Adversarial Networks - 301:12
Markovian Generative Adversarial Networks - 101:21
Markovian Generative Adversarial Networks - 201:38
Markovian Generative Adversarial Networks - 301:43
Markovian Generative Adversarial Networks - 401:57
Markovian Generative Adversarial Networks - 502:08
Markovian Generative Adversarial Networks - 602:23
Markovian Generative Adversarial Networks - 702:29
Results - 102:40
Results - 202:46
Results - 302:51
Results - 403:06
Results - 503:18
Results - 603:26
Non-stochastic Photorealistic Texture - 103:45
Non-stochastic Photorealistic Texture - 204:02
Non-stochastic Photorealistic Texture - 304:19