Reconstructing and tracking deformable surface with little or no texture...
We introduce a novel regularization for localizing an elastic-energy-dri...
Synthesizing novel 3D models that resemble the input example has long be...
Numerically solving partial differential equations (PDEs) often entails
...
Existing generative models for 3D shapes are typically trained on a larg...
Bionic underwater robots have demonstrated their superiority in many
app...
Semi-analytical methods, such as rigorous coupled wave analysis, have be...
Neural network applications have become popular in both enterprise and
p...
Deep generative models of 3D shapes have received a great deal of resear...
Generative Adversarial Networks (GANs) are able to generate high-quality...
We introduce a deep learning model for speech denoising, a long-standing...
Modern image classification systems are often built on deep neural netwo...
We propose a simple change to the current neural network structure for
d...
Micro-appearance models have brought unprecedented fidelity and details ...
All generative models have to combat missing modes. The conventional wis...
All generative models have to combat missing modes. The conventional wis...
This paper addresses the mode collapse for generative adversarial networ...
Although 360 cameras ease the capture of panoramic footage, it
remains c...
We introduce FontCode, an information embedding technique for text docum...
We present AirCode, a technique that allows the user to tag physically
f...
The inverse diffusion curve problem focuses on automatic creation of
dif...