Researchers expand on the recently developed RelPose framework, which trains a network to predict distributions of relative rotations across pairs of images Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
The arduous task of recovering 3D from 2D images has advanced quickly in recent years, thanks to neural field-based algorithms that enable high-fidelity 3D recording of typical objects and environments and dense multiview observations. Additionally, there has been an upsurge in interest in making… Read More »Researchers expand on the recently developed RelPose framework, which trains a network to predict distributions of relative rotations across pairs of images Aneesh Tickoo Artificial Intelligence Category – MarkTechPost