SOTAVerified

Point cloud reconstruction

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

Papers

Showing 5175 of 101 papers

TitleStatusHype
Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors0
Constrained Diffusion Implicit Models0
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning0
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections0
Deep Point Cloud Reconstruction0
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding0
Differentiable Spline Approximations0
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model0
DiffS-NOCS: 3D Point Cloud Reconstruction through Coloring Sketches to NOCS Maps Using Diffusion Models0
Diffusion Models in 3D Vision: A Survey0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction0
EdgeMovingNet: Edge-preserving Point Cloud Reconstruction via Joint Geometry Features0
Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery0
Estimating the Diameter at Breast Height of Trees in a Forest With a Single 360 Camera0
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision0
GarmentGS: Point-Cloud Guided Gaussian Splatting for High-Fidelity Non-Watertight 3D Garment Reconstruction0
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis0
Headset: Human emotion awareness under partial occlusions multimodal dataset0
Polyhedral Surface: Self-supervised Point Cloud Reconstruction Based on Polyhedral Surface0
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning0
3D GANs and Latent Space: A comprehensive survey0
R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model0
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo0
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation0
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