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Found 3 papers, 3 papers with code
Visual Graph Memory With Unsupervised Representation for Visual Navigation
We present a novel graph-structured memory for visual navigation, called visual graph memory (VGM), which consists of unsupervised image representations obtained from navigation history.
Text2Action: Generative Adversarial Synthesis from Language to Action
We demonstrate that the network can generate human-like actions which can be transferred to a Baxter robot, such that the robot performs an action based on a provided sentence.
Unsupervised Holistic Image Generation from Key Local Patches
We introduce a new problem of generating an image based on a small number of key local patches without any geometric prior.
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