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 31–40 of 101 papers

TitleStatusHype
Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion featuresCode0
PSS-BA: LiDAR Bundle Adjustment with Progressive Spatial Smoothing—0
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis—0
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model—0
Headset: Human emotion awareness under partial occlusions multimodal dataset—0
Learnable Chamfer Distance for Point Cloud ReconstructionCode0
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud ReconstructionCode1
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric ModelCode0
Lightweight super resolution network for point cloud geometry compressionCode1
Polyhedral Surface: Self-supervised Point Cloud Reconstruction Based on Polyhedral Surface—0
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