We propose a simple three-stage approach to segment unseen objects in RG...
A 3D digital scene contains many components: lights, materials and
geome...
We propose an end-to-end deep-learning approach for automatic rigging an...
We present a technique for automatically producing a deformation of an i...
The practicality of 3D object pose estimation remains limited for many
a...
Training state-of-the-art models for human pose estimation in videos req...
We present a fine-tuning method to improve the appearance of 3D geometri...
This paper describes new techniques for learning atlas-like representati...
This paper introduces a framework designed to accurately predict piecewi...
Training state-of-the-art models for human body pose and shape recovery ...
Recent advances in image clustering typically focus on learning better d...
We propose to represent shapes as the deformation and combination of
lea...
We propose a self-supervised approach to deep surface deformation. Given...
This document summarizes the 4th International Workshop on Recovering 6D...
We present a new deep learning approach for matching deformable shapes b...
We introduce a method for learning to generate the surface of 3D shapes....