A review of non-rigid transformations and learning-based 3D point cloud registration methods
Point cloud registration is a research field where the spatial relationship between two or
more sets of points in space is determined. Point clouds are found in multiple applications …
more sets of points in space is determined. Point clouds are found in multiple applications …
Neural lidar fields for novel view synthesis
Abstract We present Neural Fields for LiDAR (NFL), a method to optimise a neural field
scene representation from LiDAR measurements, with the goal of synthesizing realistic …
scene representation from LiDAR measurements, with the goal of synthesizing realistic …
Doodle your 3d: From abstract freehand sketches to precise 3d shapes
In this paper we democratise 3D content creation enabling precise generation of 3D shapes
from abstract sketches while overcoming limitations tied to drawing skills. We introduce a …
from abstract sketches while overcoming limitations tied to drawing skills. We introduce a …
3dsflabelling: Boosting 3d scene flow estimation by pseudo auto-labelling
Learning 3D scene flow from LiDAR point clouds presents significant difficulties including
poor generalization from synthetic datasets to real scenes scarcity of real-world 3D labels …
poor generalization from synthetic datasets to real scenes scarcity of real-world 3D labels …
Deep learning for scene flow estimation on point clouds: A survey and prospective trends
Aiming at obtaining structural information and 3D motion of dynamic scenes, scene flow
estimation has been an interest of research in computer vision and computer graphics for a …
estimation has been an interest of research in computer vision and computer graphics for a …
Nothing stands still: A spatiotemporal benchmark on 3d point cloud registration under large geometric and temporal change
Building 3D geometric maps of man-made spaces is a well-established and active field that
is fundamental to numerous computer vision and robotics applications. However …
is fundamental to numerous computer vision and robotics applications. However …
Banana: Banach fixed-point network for pointcloud segmentation with inter-part equivariance
Equivariance has gained strong interest as a desirable network property that inherently
ensures robust generalization. However, when dealing with complex systems such as …
ensures robust generalization. However, when dealing with complex systems such as …