3D Point Cloud Interpolation
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Benchmarks
DHB Dataset
NL-Drive
Most implemented
Learning Spatial-Temporal Embeddings for Sequential Point Cloud Frame Interpolation
Spatial-Temporal Consistency Refinement Network for Dynamic Point Cloud Frame Interpolation
NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment
PointINet: Point Cloud Frame Interpolation Network
Papers
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data
Efficient comparison of spherical probability distributions becomes important in fields such as computer vision, geosciences, and medicine. Sliced optimal transport distances, such as spherical and stereographic spherica…
3D Point Cloud InterpolationComputational EfficiencyLearning Spatial-Temporal Embeddings for Sequential Point Cloud Frame Interpolation
A point cloud sequence is usually acquired at a low frame rate owing to the limitations from the sensing equipment. Consequently, the immersive experience of the virtual reality might be greatly degraded. To tackle this …
3D Point Cloud InterpolationSpatial-Temporal Consistency Refinement Network for Dynamic Point Cloud Frame Interpolation
Point cloud frame interpolation aims to improve the frame rate of a point cloud sequence by synthesising intermediate frames between consecutive frames. Most of the existing works only use the scene flow or features, not…
3D Point Cloud InterpolationMotion EstimationNeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
In recent years, there has been a significant increase in focus on the interpolation task of computer vision. Despite the tremendous advancement of video interpolation, point cloud interpolation remains insufficiently ex…
3D Point Cloud InterpolationAutonomous DrivingIDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment
This paper investigates the problem of temporally interpolating dynamic 3D point clouds with large non-rigid deformation. We formulate the problem as estimation of point-wise trajectories (i.e., smooth curves) and furthe…
3D Point Cloud InterpolationPointINet: Point Cloud Frame Interpolation Network
LiDAR point cloud streams are usually sparse in time dimension, which is limited by hardware performance. Generally, the frame rates of mechanical LiDAR sensors are 10 to 20 Hz, which is much lower than other commonly us…
3D Point Cloud Interpolation