Existing works have advanced Text-to-Image (TTI) diffusion models for vi...
Blind face restoration (BFR) is important while challenging. Prior works...
This paper focuses on face stylization with a single artistic target.
Ex...
Contrastive learning (CL) has shown great power in self-supervised learn...
Existing methods for human mesh recovery mainly focus on single-view
fra...
In this paper, we focus on analyzing and improving the dropout technique...
In this paper, we present a novel Distribution-Aware Single-stage (DAS) ...
We consider the challenging multi-person 3D body mesh estimation task in...
Generative based strategy has shown great potential in the Generalized
Z...
Video-based human pose estimation in crowded scenes is a challenging pro...
Detecting and recognizing human action in videos with crowded scenes is ...
This paper presents our solution to ACM MM challenge: Large-scale
Human-...
We consider the problem of semi-supervised 3D action recognition which h...
Existing 3D human pose estimation models suffer performance drop when
ap...
Multi-person pose estimation is a challenging problem. Existing methods ...
Existing video-based human pose estimation methods extensively apply lar...
This paper proposes a new Generative Partition Network (GPN) to address ...