Multivariate time series data for real-world applications typically cont...
Recent text-driven image editing in diffusion models has shown remarkabl...
Datasets often have their intrinsic symmetries, and particular deep-lear...
Portrait stylization, which translates a real human face image into an
a...
With the advantages of fast inference and human-friendly flexible
manipu...
Image blending aims to combine multiple images seamlessly. It remains
ch...
3D-aware GANs aim to synthesize realistic 3D scenes such that they can b...
Inspired by the impressive performance of recent face image editing meth...
Recent methods for conditional image generation benefit from dense
super...
Recent studies have shown remarkable progress in GANs based on implicit
...
In the deep learning era, long video generation of high-quality still re...
Generative adversarial networks (GANs) synthesize realistic images from
...
This paper introduces a potential application of deep learning and artif...
Line art colorization is expensive and challenging to automate. A GAN
ap...
The wide use of machine learning is fundamentally changing the software
...