We present an innovative approach to 3D Human Pose Estimation (3D-HPE) by integrating cutting-edge diffusion models, which have revolutionized diverse fields, but are relatively unexplored in 3D-HPE.

The mummified body of a Nile predator lay silent for roughly 3,000 years, but a modern CT scanner has now replayed its final, ...

3D Human Pose Estimation (HPE) is the task of locating key points of the human body in 3D space from 2D or 3D representations such as RGB images, depth maps, or point clouds. Current HPE methods from ...

Liver disease is a major global health problem, causing over two million deaths worldwide each year. While animal models have ...

Do you find yourself often feeling heavy and lethargic, despite generally sleeping well? The secret to feeling light, energized, and healthy often starts in your gut. A smooth-running digestive system ...

Abstract: A dynamic multi-scale spatiotemporal graph recurrent neural network (DMST-GRNN) model has been introduced, which is leveraged to use human motion prediction on a 3D skeleton-based human ...

Watching 3D movies and TV shows is a fun and exciting experience, where images leap out of the screen. To get this effect, you usually have to wear a special pair of glasses. But that could soon be a ...

Abstract: 3D human motion prediction, which attempts to foresee the behaviors of human, is an issue of great significance in computer vision. Attention-based neural networks and graph convolution ...

In a major breakthrough in human tissue replication, for the first time ever a 3D-printed cornea has been transplanted onto a legally blind patient's eye, successfully restoring their sight. That's ...

Standing in line for a week. Sitting online for a day. This is what out-of-state hunters do for a chance at general season deer and elk tags in Idaho. At least, it’s what they’ve done since the ...