IEEE

Mask-SL RCNN: Feature-Enhanced 3D Object Detection Network for Point Clouds

Abstract: At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, ...

Turn Any Photo into a 3D Model with SAM 3D : From One Snapshot to Shareable Mesh

Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...
Department of Computer Science - University of Texas at Austin

Adaptive Anatomy: 3D Models That Fit Every Form

Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...
IEEE

TM2B: Transformer-Based Motion-to-Box Network for 3D Single Object Tracking on Point Clouds

Abstract: 3D single object tracking plays a crucial role in numerous applications such as autonomous driving. Recent trackers based on motion-centric paradigm perform well as they exploit motion cues ...

How we animated light and motion for 3D interior visualisation

In our interactive feature on small spaces, we showcased storage tips and lighting strategies through immersive 3D animations ...