Learning to Generate Chairs, Tables and Cars with Convolutional Networks — mentioned by junyanz

Mon, 26 Sep 2016 11:12:41 GMT

It's possible. But 3D data (3D models, videos) are much more difficult to model via a deep neural net. While most of the researchers focus on modeling 2d images in recent years, there are a few work on 3D. For example, here is a project on modeling 3D objects like chairs and tables. https://arxiv.org/abs/1411.5928

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Learning to Generate Chairs, Tables and Cars with Convolutional Networks — mentioned by rirarobo

Fri, 13 Mar 2015 15:42:28 GMT

Very cool work, I'm happy to see more people thinking about deep networks along these lines. It seems that this is very similar to a recent work put on arxiv back in November, "Learning to Generate Chairs with Convolutional Neural Networks". http://arxiv.org/abs/1411.5928 They also have a very cool video of the generation process: https://youtu.be/QCSW4isBDL0 It's very interesting to see two groups independently developing almost identical networks for inverse graphics tasks, both using pose, shape, and view parameters to guide learning. I think that continuing in this direction could provide…

Paper and discussion history. A mention is not an endorsement.

Learning to Generate Chairs, Tables and Cars with Convolutional Networks · HackerPapers discussions

Learning to Generate Chairs, Tables and Cars with Convolutional Networks — mentioned by junyanz

Learning to Generate Chairs, Tables and Cars with Convolutional Networks — mentioned by rirarobo