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 71–80 of 101 papers

TitleStatusHype
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning—0
3D GANs and Latent Space: A comprehensive survey—0
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
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation—0
Self-Distillation for Unsupervised 3D Domain Adaptation—0
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
SPACE: 3D Spatial Co-operation and Exploration Framework for Robust Mapping and Coverage with Multi-Robot Systems—0
StairNetV3: Depth-aware Stair Modeling using Deep Learning—0
StarNet: Style-Aware 3D Point Cloud Generation—0
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