Multi-modal keyphrase generation aims to produce a set of keyphrases tha...
Recent data-driven image colorization methods have enabled automatic or
...
Although previous co-speech gesture generation methods are able to synth...
As a recent noticeable topic, domain generalization aims to learn a
gene...
Domain generalization (DG) aims to learn a model on several source domai...
Image-to-image translation (I2I) aims to transfer images from a source d...
Most existing image restoration networks are designed in a disposable wa...
Hybrid-distorted image restoration (HD-IR) is dedicated to restore real
...
An unsupervised image-to-image translation (UI2I) task deals with learni...
Image-to-image translation models have shown remarkable ability on
trans...
Unsupervised domain translation has recently achieved impressive perform...
Image translation across different domains has attracted much attention ...
Image-to-image translation has been widely investigated in recent years....
In this paper, we propose a learned scalable/progressive image compressi...
Face restoration from low resolution and noise is important for applicat...
Most existing single image deraining methods require learning supervised...
We present Deep Image Retargeting (DeepIR), a coarse-to-fine
framework f...
With the rapid increase in online photo sharing activities, image obfusc...
Restoring face images from distortions is important in face recognition
...
Image-to-image translation tasks have been widely investigated with
Gene...