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 61–70 of 101 papers

TitleStatusHype
Cross-modal Learning for Image-Guided Point Cloud Shape CompletionCode1
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations—0
PU-MFA : Point Cloud Up-sampling via Multi-scale Features AttentionCode0
Masked Surfel Prediction for Self-Supervised Point Cloud LearningCode1
Masked Autoencoders in 3D Point Cloud Representation LearningCode1
ANISE: Assembly-based Neural Implicit Surface rEconstruction—0
Bone marrow sparing for cervical cancer radiotherapy on multimodality medical images—0
Autoregressive 3D Shape Generation via Canonical MappingCode1
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
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