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Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
- algorithmsRcool 11y agoThey also have a video with some samples and an overview. https://www.youtube.com/watch?v=PRD8LpPvdHI https://www.youtube.com/watch?v=PRD8LpPvdHI
- LoSboccacc 11y agocode here https://github.com/chuanli11/CNNMRF https://github.com/chuanli11/CNNMRF
- deleted 11y ago[deleted]
- Aelinsaar 11y agoThat title... I think I heard a manager somewhere have a 10 minute orgasm.
- dang 11y agoPlease stop posting unsubstantive comments to HN.
- tcoder 11y agoCorrect code link: https://github.com/chuanli11/MGANs https://github.com/chuanli11/MGANs Collection of other implementations of this feedforward neural style transfer approach: https://tensortalk.com/?cat=feedforward-neural-style-transfer https://tensortalk.com/?cat=feedforward-neural-style-transfe... Or, regular neural style transfer: https://tensortalk.com/?cat=neural-style-transfer https://tensortalk.com/?cat=neural-style-transfer
- iamwil 11y agoWhat is texture synthesis usually used for?
- SixSigma 11y agoPublishing papers.
- jimfleming 11y agoGames. Good texture synthesis can augment or replace the texture creation process in games which often rely on hand-painting and manual seam-removal in Photoshop[0][1]. [0] https://www.allegorithmic.com/products/substance-painter https://www.allegorithmic.com/products/substance-painter [1] http://quixel.se/ http://quixel.se/
- ericflo 11y agoSince it seems this paper's primary focus is on performance, it'd be interesting to see how this technique stacks up against one of those fancy new binary networks (e.g. http://arxiv.org/abs/1603.05279 http://arxiv.org/abs/1603.05279)