We propose a technique for learning single-view 3D object pose estimatio...
We present a fine-tuning method to improve the appearance of 3D geometri...
We present PlanarRecon – a novel framework for globally coherent detecti...
We present ANISE, a method that reconstructs a 3D shape from partial
obs...
We present SurFit, a simple approach for label efficient learning of 3D ...
We present a prior for manifold structured data, such as surfaces of 3D
...
We present a generative model to synthesize 3D shapes as sets of handles...
The problems of shape classification and part segmentation from 3D point...
We investigate the problem of learning a probabilistic distribution over...
The deep image prior was recently introduced as a prior for natural imag...
We investigate the role of representations and architectures for classif...
We present multiresolution tree-structured networks to process point clo...
We propose a method for reconstructing 3D shapes from 2D sketches in the...
We propose a method to generate 3D shapes using point clouds. Given a
po...
In this paper we investigate the problem of inducing a distribution over...