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 41–50 of 101 papers

TitleStatusHype
LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues—0
GarmentGS: Point-Cloud Guided Gaussian Splatting for High-Fidelity Non-Watertight 3D Garment Reconstruction—0
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning—0
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models—0
Constrained Diffusion Implicit Models—0
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis—0
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors—0
Estimating the Diameter at Breast Height of Trees in a Forest With a Single 360 Camera—0
3D Reconstruction of Multiple Objects by mmWave Radar on UAV—0
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