point cloud

Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection CVPR 2023 DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds ICCV 2023 DiffComplete: Diffusion-based Generative 3D Shape Completion NeurIPS 2023 Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection NeurIPS 2023 Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding ICCV 2023 Diverse Shape Completion via Style Modulated Generative Adversarial Networks NeurIPS 2023 Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion AAAI 2023 DMNet: Delaunay Meshing Network for 3D Shape Representation ICCV 2023 Domain Generalization of 3D Semantic Segmentation in Autonomous Driving ICCV 2023 DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection ICCV 2023 DReg-NeRF: Deep Registration for Neural Radiance Fields ICCV 2023 DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets CVPR 2023 Dynamic Mesh Recovery from Partial Point Cloud Sequence ICCV 2023 Dynamic Point Fields ICCV 2023 DynPoint: Dynamic Neural Point For View Synthesis NeurIPS 2023 E$(n)$ Equivariant Message Passing Simplicial Networks ICML 2023 E2PN: Efficient SE(3)-Equivariant Point Network CVPR 2023 EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding CVPR 2023 EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points CVPR 2023 Efficient 3D Semantic Segmentation with Superpoint Transformer ICCV 2023 Efficient Graph Field Integrators Meet Point Clouds ICML 2023 Energy-Based Sliced Wasserstein Distance NeurIPS 2023 EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization ICCV 2023 Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning ICLR 2023 Explainability-Aware One Point Attack for Point Cloud Neural Networks WACV 2023