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Generative Modelling Language

Known as: GML 
Generative Modelling Language (GML) in computer graphics and generative computer programming is a very simple programming language for the concise… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Three-dimensional geometric data offer an excellent domain for studying representation learning and generative modeling. In this… Expand
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Highly Cited
2017
Highly Cited
2017
Categorical variables are a natural choice for representing discrete structure in the world. However, stochastic neural networks… Expand
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Highly Cited
2017
Highly Cited
2017
Many image-to-image translation problems are ambiguous, as a single input image may correspond to multiple possible outputs. In… Expand
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Highly Cited
2017
Highly Cited
2017
Representation learning seeks to expose certain aspects of observed data in a learned representation that's amenable to… Expand
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Review
2017
Review
2017
This report summarizes the tutorial presented by the author at NIPS 2016 on generative adversarial networks (GANs). The tutorial… Expand
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Highly Cited
2017
Highly Cited
2017
We study the problem of learning generative models of 3D shapes. Voxels or 3D parts have been widely used as the underlying… Expand
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Highly Cited
2017
Highly Cited
2017
We present Deep Voice, a production-quality text-to-speech system constructed entirely from deep neural networks. Deep Voice lays… Expand
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Highly Cited
2009
Highly Cited
2009
We introduce a new type of top-level model for Deep Belief Nets and evaluate it on a 3D object recognition task. The top-level… Expand
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Highly Cited
2005
Highly Cited
2005
This paper describes a computer vision based system for real-time robust traffic sign detection, tracking, and recognition. Such… Expand
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Highly Cited
2004
Highly Cited
2004
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex… Expand
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