Deploy this example to create a 3D object reconstruction workflow that transforms stereo video input into high-quality 3D assets using state-of-the-art computer vision and neural rendering techniques.

Abstract: Monocular three-dimensional (3D) scene understanding tasks, e.g., object size angle and 3D position, estimation are challenging to perform. More successful current methods usually require ...

This project offers the Canonical Objaverse Dataset, created using the methods outlined in the paper "One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency." Additionally, ...

Autonomous driving is the future trend. Accurate 3D object detection is a prerequisite for achieving autonomous driving. Currently, 3D object detection relies on three main sensors: monocular cameras, ...

Abstract: Due to the ill-posed nature of locating 3D objects based on image inputs, objects detected by camera-based detectors tend to have considerable uncertainty in their localization. Previous ...