PointListNet: Deep Learning on 3D Point Lists
Hehe Fan, Linchao Zhu, Yi Yang, Mohan S. Kankanhalli
摘要
A sentence is a list of words. (a) text: 1D word list (b) image: 2D pixel grid (c) 3D point cloud/set (d) protein: 3D point list Figure 1. Data structure comparison of text, image, point cloud and protein. (a) Texts are regular 1D lists of words. The position is the word's sequential order in the text and the feature is the word itself. (b) Images are regular 2D grids of pixels. The position is the row and column where the pixel is located and the feature is the color. (c) Point clouds are irregular 3D point sets. The position is the 3D coordinate and the feature is the point attributes. (d) Proteins can be seen as 3D point lists. The position of an amino acid involves a regular 1D sequential order and an irregular 3D coordinate. The feature is the amino acid (residue) type.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper2
- Clustering for Protein Representation LearningRuijie Quan, Wenguan Wang, Fan Ma, Hehe Fan 等CVPR 2024 · 被引用 10 次
- OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing AgentsZhaolin Hu, Yixiao Zhou, Zhongan Wang, Xin Li 等ICLR 2025
它引用的顶会 Paper13
- An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleAlexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn 等ICLR 2021 · 被引用 21,477 次
- KPConv: Flexible and Deformable Convolution for Point CloudsHugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui 等ICCV 2019 · 被引用 3,193 次
- Deep Hough Voting for 3D Object Detection in Point CloudsCharles R. Qi, Or Litany, Kaiming He, Leonidas J. GuibasICCV 2019 · 被引用 1,467 次
- Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP FrameworkXu Ma, Can Qin, Haoxuan You, Haoxi Ran 等ICLR 2022 · 被引用 841 次
- Learning from Protein Structure with Geometric Vector PerceptronsBowen Jing, Stephan Eismann, Patricia Suriana, Raphael John Lamarre Townshend 等ICLR 2021 · 被引用 627 次
相关 Paper
- Continuous-Discrete Convolution for Geometry-Sequence Modeling in ProteinsHehe Fan, Zhangyang Wang, Yi Yang, Mohan S. KankanhalliICLR 2023
- Invariant Tokenization of Crystalline Materials for Language Model Enabled GenerationKeqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen 等NeurIPS 2024 · 被引用 23 次
- PSTNet: Point Spatio-Temporal Convolution on Point Cloud SequencesHehe Fan, Xin Yu, Yuhang Ding, Yi Yang 等ICLR 2021 · 被引用 148 次
- How Compositional Generalization and Creativity Improve as Diffusion Models are TrainedAlessandro Favero, Antonio Sclocchi, Francesco Cagnetta, Pascal Frossard 等ICML 2025
- OpenScene: 3D Scene Understanding with Open VocabulariesSongyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi 等CVPR 2023
