In this report, we present MagicEdit, a surprisingly simple yet effectiv...
This report presents MagicAvatar, a framework for multimodal video gener...
In this work, we focus on robust time series representation learning. Ou...
Though the success of CLIP-based training recipes in vision-language mod...
Lung cancer is a leading cause of death worldwide and early screening is...
Recent studies have shown great promise in unsupervised representation
l...
Recently, 3D object detection has attracted significant attention and
ac...
We present OmniAvatar, a novel geometry-guided 3D head synthesis model
t...
While substantial progresses have been made in automated 2D portrait
sty...
Although deep neural networks achieve tremendous success on various
clas...
Recent advances in generative adversarial networks (GANs) have demonstra...
Automatic parsing of human anatomies at instance-level from 3D computed
...
Accurate and robust abdominal multi-organ segmentation from CT imaging o...
Unsupervised generation of clothed virtual humans with various appearanc...
Existing self-supervised 3D human pose estimation schemes have largely r...
In this work we develop a generalizable and efficient Neural Radiance Fi...
We present Multi-view Pose transformer (MvP) for estimating multi-person...
In this paper, we introduce the cubature formulas for Stochastic Volterr...
Unsupervised domain adaptation (UDA) aims at exploiting related but diff...
We consider the challenging multi-person 3D body mesh estimation task in...
Existing 3D human pose estimators suffer poor generalization performance...
Existing 3D human pose estimation models suffer performance drop when
ap...
Graph Neural Networks (GNNs), which generalize deep neural networks to
g...
Multi-person pose estimation is a challenging problem. Existing methods ...
In this paper we use a time-evolving graph which consists of a sequence ...
Binary image segmentation plays an important role in computer vision and...
Stereo matching algorithms usually consist of four steps, including matc...