RankModelChamfer DistancePaperCodeResultYearTags 1 SeedFormer 6.74(PCN dataset) SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer 2022 2 PMP-Net++ 7.97(CD-L2) PMP-Net++: Point Cloud
Paper tables with annotated results for A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling
[5] ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completionpaper|code Topic:自适应闭环系统为了自监督的点云完成 [6] Absact:点云补全解决了填充从深度传感器获得的部分点云的缺失部分并生成完整点云的问题。尽管在合成点云完成任务上的监督方法取得了长足的进步,但由于合成数据集和真...
The part-aware network aims to extract discriminative features from the point cloud by learning to estimate the intra-object part locations of foreground points, since these part locations implicitly encode the 3D object’s shapes by indicating the relative locations of surface points of 3D objects....
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers [completion; PyTorch] PointAttN: You Only Need Attention for Point Cloud Completion [completion; PyTorch] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder [pre-training] MM-Point: Multi-View...
Paper Collection for 3D Understanding CreativeAI: Deep Learning for Graphics Datasets To see a survey of RGBD datasets, check out Michael Firman'scollectionas well as the associated paper,RGBD Datasets: Past, Present and Future. Point Cloud Library also has a good datasetcatalogue. ...
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud 时间:CVPR2024 机构:ETH & CMU & Sungkyunkwan University TL;DR 将手部分3D点预测任务建模为点云生成任务,提出Handiff算法,以手部图像点云为条件输入,通过迭代降噪的方式预测精确的手部姿态,效果在四个benchmark上都达到SOTA。
Paper GitHub repository LIDAR-MOS - Moving Object Segmentation in 3D LIDAR Data GitHub repository YouTube video SuperPoint Graph- Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs GitHub repository YouTube video RandLA-Net - Efficient Semantic Segmentation of Large-Scale Point Clouds...
Our self-supervised CompositeNets achieve state-of-the-art anomaly detection performance on synthetic and real-world point cloud benchmarks. The rest of the paper is organized as follows: in Section 2 we review the literature on deep learning for point clouds, with a focus on point convolution...
Paper tables with annotated results for Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models