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Found 5 papers, 2 papers with code
MD-Splatting: Learning Metric Deformation from 4D Gaussians in Highly Deformable Scenes
MD-Splatting builds on recent advances in Gaussian splatting, a method that learns the properties of a large number of Gaussians for state-of-the-art and fast novel view synthesis.
Occlusion-Aware 2D and 3D Centerline Detection for Urban Driving via Automatic Label Generation
This research work seeks to explore and identify strategies that can determine road topology information in 2D and 3D under highly dynamic urban driving scenarios.
On the Efficacy of 3D Point Cloud Reinforcement Learning
Recent studies on visual reinforcement learning (visual RL) have explored the use of 3D visual representations.
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Generalizable manipulation skills, which can be composed to tackle long-horizon and complex daily chores, are one of the cornerstones of Embodied AI.
CLiNet: Joint Detection of Road Network Centerlines in 2D and 3D
This work introduces a new approach for joint detection of centerlines based on image data by localizing the features jointly in 2D and 3D.
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