To address these challenges, we propose GS-PT, which integrates 3D Gaussian Splatting (3DGS ... self-supervised learning process, enabling the model to leverage the correlation across 3D point clouds ...

Capturing precise 3D details with a single camera has long been a challenge. Traditional methods often require complex ...

Manning describes her practice in terms of ritual—a channeling process through which something universal, intangible and ...

“Update the front entry stair to create a good first impression by painting the balusters or the newel post and handrail. Alternatively, swap out the whole thing with a clean-lined model.” ...

this paper proposes a novel railway track extraction model that is specifically designed for dealing with the airborne LiDAR data, known as TripletA-Net. TripletA-Net enables automatic and precise ...

PCN is a learning-based shape completion method which directly maps a partial point cloud to a dense, complete point cloud without any voxelization. It is based on our 3DV 2018 publication PCN: Point ...

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