Point Cloud Super Resolution
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Benchmarks
Most implemented
PU-GAN: a Point Cloud Upsampling Adversarial Network
Patch-based Progressive 3D Point Set Upsampling
PU-Net: Point Cloud Upsampling Network
Lightweight super resolution network for point cloud geometry compression
Papers
SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
In recent years, range-view-based LiDAR point cloud super-resolution techniques attract significant attention as a low-cost method for generating higher-resolution point cloud data. However, due to the sparsity and irreg…
MambaPoint Cloud Super Resolutionpoint cloud upsamplingSuper-ResolutionR2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model
We introduce R2LDM, an innovative approach for generating dense and accurate 4D radar point clouds, guided by corresponding LiDAR point clouds. Instead of utilizing range images or bird's eye view (BEV) images, we repres…
object-detectionObject DetectionPoint cloud reconstructionPoint Cloud Registration+2EGP3D: Edge-guided Geometric Preserving 3D Point Cloud Super-resolution for RGB-D camera
Point clouds or depth images captured by current RGB-D cameras often suffer from low resolution, rendering them insufficient for applications such as 3D reconstruction and robots. Existing point cloud super-resolution (P…
3D ReconstructionPoint Cloud Super Resolutionpoint cloud upsamplingSuper-ResolutionDiffusion-Based Point Cloud Super-Resolution for mmWave Radar Data
The millimeter-wave radar sensor maintains stable performance under adverse environmental conditions, making it a promising solution for all-weather perception tasks, such as outdoor mobile robotics. However, the radar p…
Point Cloud Super ResolutionSuper-ResolutionPDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
Recent advances in implicit neural representations have achieved impressive results by sampling and fusing individual points along sampling rays in the sampling space. However, due to the explosively growing sampling spa…
NeRFNovel View SynthesisPoint Cloud Super ResolutionSuper-ResolutionLightweight super resolution network for point cloud geometry compression
This paper presents an approach for compressing point cloud geometry by leveraging a lightweight super-resolution network. The proposed method involves decomposing a point cloud into a base point cloud and the interpolat…
DecoderPoint cloud reconstructionPoint Cloud Super ResolutionSuper-Resolution