CVPR-2021-point-cloud-analysis

CVPR 2021 papers focusing on point cloud analysis

• PREDATOR: Registration of 3D Point Clouds with Low Overlap registration oral

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• Exploring Data Efficient 3D Scene Understanding with Contrastive Scene Contexts segmentation oral

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• MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization Synchronization oral

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• Diffusion Probabilistic Models for 3D Point Cloud Generation generation

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• Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion, paper not yet

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• Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges dataset

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• Few-shot 3D Point Cloud Semantic Segmentation.

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• Bidirectional Projection Network for Cross Dimension Scene Understanding. oral 2D/3D

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• Self-supervised Geometric Perception. oral registration

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• SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. registration

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• Style-based Point Generator with Adversarial Rendering for Point Cloud Completion. completion

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• VRCNet: Variational Relational Point Completion Network. completion oral dataset

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• Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding. completion

• View-Guided Point Cloud Completion. completion

• PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths. completion

• Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos. point cloud video oral

• 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. Affordance estimation new task dataset

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• 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. detection

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• Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception. oral segmentation

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