Abstract: 3D object detection is considered as computationally expensive problem as it heavily relies on processing extensive sensory data making it unsuitable for the real-time application. To ...

This is the official code for the paper "DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion Models". Otherwise, you can use open-source image-to-video models such as ...

LiDAR-based 3D object detection is crucial for various applications but often experiences performance degradation in real-world deployments due to domain shifts. While most studies focus on ...

Abstract: Animating quadruped 3D objects, such as chairs and tables, typically involves three steps in the traditional computer graphics pipeline: Rigging, Skinning, and Retargeting. Commonly, ...