We present the Shape Part Slot Machine, a new method for assembling nove...
We investigate the problem of training generative models on a very spars...
Maps are arguably one of the most fundamental concepts used to define an...
We present a method to improve the visual realism of low-quality, synthe...
We propose a novel learnable representation for detail-preserving shape
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Attention networks show promise for both vision and language tasks, by
e...
In this work, we focus on the challenge of taking partial observations o...
Discovering 3D arrangements of objects from single indoor images is impo...