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Point cloud reconstruction

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

Papers

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Showing 21–30 of 101 papers

TitleStatusHype
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step—0
Constrained Diffusion Implicit Models—0
LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues—0
Diffusion Models in 3D Vision: A Survey—0
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen ClassesCode0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial IntelligenceCode4
3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion—0
APC2Mesh: Bridging the gap from occluded building façades to full 3D models—0
Unsupervised Occupancy Learning from Sparse Point CloudCode1
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