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 1–10 of 101 papers

TitleStatusHype
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models—0
Curve-Aware Gaussian Splatting for 3D Parametric Curve ReconstructionCode2
DiffS-NOCS: 3D Point Cloud Reconstruction through Coloring Sketches to NOCS Maps Using Diffusion Models—0
Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders—0
Estimating the Diameter at Breast Height of Trees in a Forest With a Single 360 Camera—0
GarmentGS: Point-Cloud Guided Gaussian Splatting for High-Fidelity Non-Watertight 3D Garment Reconstruction—0
SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications—0
AIM2PC: Aerial Image to 3D Building Point Cloud ReconstructionCode0
R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model—0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction—0
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