An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...

[2024-06-20]: Disable loading irrelvent packages when training individual models; update the instruction for DCR experiements; fix minor bugs in TabSyn's training script. [2024-05-14]: Add demo code ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Abstract: Multi-object tracking (MOT) aims to estimate the bounding boxes and ID labels of objects in videos. The challenging issue in this task is to alleviate competitive learning between the ...

Abstract: Estimating the poses of new objects is a challenging problem. Although many methods have been developed for instance-level object pose estimation, they often struggle when faced with ...

SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...