Procedural material graphs are a compact, parameteric, and
resolution-in...
We present a fine-tuning method to improve the appearance of 3D geometri...
We present ANISE, a method that reconstructs a 3D shape from partial
obs...
Representing human-made objects as a collection of base primitives has a...
We propose DeepMetaHandles, a 3D conditional generative model based on m...
We present a generative model to synthesize 3D shapes as sets of handles...
We propose a novel, end-to-end trainable, deep network called ParSeNet t...
We present a novel reinforcement learning-based natural media painting
a...
Reconstructing 3D shapes from single-view images has been a long-standin...
Applications in virtual and augmented reality create a demand for rapid
...
Edges, boundaries and contours are important subjects of study in both
c...
Automatic organization of personal photos is a problem with many real wo...
In this paper, we introduce the problem of simultaneously detecting mult...
We study the problem of Salient Object Subitizing, i.e. predicting the
e...
Real-world applications could benefit from the ability to automatically
...