Recent years have seen remarkable progress in deep learning powered visu...
Recently, several spatial-temporal memory-based methods have verified th...
Inverting a Generative Adversarial Network (GAN) facilitates a wide rang...
Recent face generation methods have tried to synthesize faces based on t...
Most existing video tasks related to "human" focus on the segmentation o...
Current methods of multi-person pose estimation typically treat the
loca...
This paper studies the neural architecture search (NAS) problem for
deve...
The existing text-guided image synthesis methods can only produce limite...
In this work, we propose TediGAN, a novel framework for multi-modal imag...
In this work, we present interpGaze, a novel framework for controllable ...
Most state-of-the-art semantic segmentation or scene parsing approaches ...
No-reference image quality assessment (NR-IQA) is a fundamental yet
chal...
Image-to-image translation has drawn great attention during the past few...
Image generation task has received increasing attention because of its w...