This work considers gradient-based mesh optimization, where we iterative...
Automatically generating high-quality real world 3D scenes is of enormou...
As several industries are moving towards modeling massive 3D virtual wor...
We propose to utilize self-supervised techniques in the 2D domain for
fi...
In this paper, we address the problem of texture representation for 3D s...
We present HIPNet, a neural implicit pose network trained on multiple
su...
We introduce DMTet, a deep 3D conditional generative model that can
synt...
We propose a method to create plausible geometric and texture style
vari...
We introduce DatasetGAN: an automatic procedure to generate massive data...
Neural signed distance functions (SDFs) are emerging as an effective
rep...
We treat shape co-segmentation as a representation learning problem and
...
We present LOGAN, a deep neural network aimed at learning generic shape
...
We introduce P2P-NET, a general-purpose deep neural network which learns...
We introduce P2P-NET, a general-purpose deep neural network which learns...