SOTAVerified

Point cloud reconstruction

This task aims to solve inherent problems in raw point clouds: sparsity, noise, and irregularity.

Papers

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Showing 81–90 of 101 papers

TitleStatusHype
R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model—0
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo—0
APC2Mesh: Bridging the gap from occluded building façades to full 3D models—0
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation—0
ANISE: Assembly-based Neural Implicit Surface rEconstruction—0
Self-Distillation for Unsupervised 3D Domain Adaptation—0
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
3D Reconstruction of Multiple Objects by mmWave Radar on UAV—0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction—0
EdgeMovingNet: Edge-preserving Point Cloud Reconstruction via Joint Geometry Features—0
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