3D Shape Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 30 papers with code (82 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Learning for 3D Point Clouds: A Survey
  27 Dec 2019 3 repositories listed
  To stimulate future research, this paper presents a comprehensive review of recent progress in deep learning methods for point clouds.
• Masked Discrimination for Self-Supervised Learning on Point Clouds
  21 Mar 2022 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  Masked autoencoding has achieved great success for self-supervised learning in the image and language domains.
• Learning Equivariant Representations
  4 Dec 2020 2 repositories listed
  In this thesis, we extend equivariance to other kinds of transformations, such as rotation and scaling.
• MVTN: Multi-View Transformation Network for 3D Shape Recognition
  26 Nov 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  MVTN exhibits clear performance gains in the tasks of 3D shape classification and 3D shape retrieval without the need for extra training supervision.
• Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation
  7 Jan 2019 2 repositories listed
  It has been challenging to analyze signals with mixed topologies (for example, point cloud with surface mesh).
• MeshNet: Mesh Neural Network for 3D Shape Representation
  28 Nov 2018 2 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  However, there is little effort on using mesh data in recent years, due to the complexity and irregularity of mesh data.
• Generating 3D Adversarial Point Clouds
  19 Sep 2018 2 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Deep neural networks are known to be vulnerable to adversarial examples which are carefully crafted instances to cause the models to make wrong predictions.
• Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds
  24 Mar 2024 1 repository listed
  We evaluate the performance of Interpretable3D on four popular point cloud models: DGCNN, PointNet2, PointMLP, and PointNeXt.
• Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds
  27 Jul 2023 1 repository listed
  Specifically, we extend the random features method of Rahimi & Recht 2007 by deriving a version that is invariant to three-dimensional rotations and showing that it is fast to evaluate on point cloud data.
• ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding
  25 Mar 2023 1 repository listed
  For example, the image branch in CrossPoint is ∼8.
• MVTN: Learning Multi-View Transformations for 3D Understanding
  27 Dec 2022 1 repository listed
  Multi-view projection techniques have shown themselves to be highly effective in achieving top-performing results in the recognition of 3D shapes.
• LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
  23 Oct 2022 1 repository listed
  Transformer with its underlying attention mechanism and the ability to capture long-range dependencies makes it become a natural choice for unordered point cloud data.
• PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition
  7 Jul 2022 1 repository listed
  In this paper, we explore the possibility of boosting deep 3D point cloud encoders by transferring visual knowledge extracted from deep 2D image encoders under a standard teacher-student distillation workflow.
• diffConv: Analyzing Irregular Point Clouds with an Irregular View
  29 Nov 2021 1 repository listed
  Standard spatial convolutions assume input data with a regular neighborhood structure.
• DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
  19 Nov 2021 1 repository listed
  We reverse the conventional design of applying convolution on voxels and attention to points.
• PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
  15 Oct 2021 1 repository listed
  3D shape representation and its processing have substantial effects on 3D shape recognition.
• TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network
  7 Oct 2021 1 repository listed
  Point cloud is one of the widely used techniques for representing and storing 3D geometric data.
• POINTVIEW-GCN: 3D SHAPE CLASSIFICATION WITH MULTI-VIEW POINT CLOUDS
  22 Sep 2021 1 repository listed
  We address 3D shape classification with partial point cloud inputs captured from multiple viewpoints around the object.
• Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
  1 Sep 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  To date, various 3D scene understanding tasks still lack practical and generalizable pre-trained models, primarily due to the intricate nature of 3D scene understanding tasks and their immense variations introduced by…
• View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis
  1 Jun 2020 1 repository listed
  View-based approach that recognizes 3D shape through its projected 2D images has achieved state-of-the-art results for 3D shape recognition.
• Unsupervised Deep Shape Descriptor With Point Distribution Learning
  1 Jun 2020 1 repository listed
  This paper proposes a novel probabilistic framework for the learning of unsupervised deep shape descriptors with point distribution learning.
• Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions
  26 May 2020 1 repository listed
  According to our experiments under this fine-grained dataset, we find that state-of-the-art methods are significantly limited by the small variance among subcategories in the same category.
• A Topological Nomenclature for 3D Shape Analysis in Connectomics
  27 Sep 2019 1 repository listed
  Next, we develop nomenclature rules for pyramidal neurons and mitochondria from the reduced graph and finally learn the feature embedding for shape manipulation.
• Equivariant Multi-View Networks
  1 Apr 2019 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  Several popular approaches to 3D vision tasks process multiple views of the input independently with deep neural networks pre-trained on natural images, achieving view permutation invariance through a single round of…
• Cross-Domain 3D Equivariant Image Embeddings
  6 Dec 2018 1 repository listed
  This embedding encodes images with 3D shape properties and is equivariant to 3D rotations of the observed object.
• PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition
  23 Aug 2018 1 repository listed
  With the recent proliferation of deep learning, various deep models with different representations have achieved the state-of-the-art performance.
• Deep Learning for Hand Gesture Recognition on Skeletal Data
  15 May 2018 1 repository listed
  In this paper, we introduce a new 3D hand gesture recognition approach based on a deep learning model.
• Triplet-Center Loss for Multi-View 3D Object Retrieval
  16 Mar 2018 1 repository listed
  Most existing 3D object recognition algorithms focus on leveraging the strong discriminative power of deep learning models with softmax loss for the classification of 3D data, while learning discriminative features with…
• Beam Search for Learning a Deep Convolutional Neural Network of 3D Shapes
  14 Dec 2016 1 repository listed
  Each state of the beam search corresponds to a candidate CNN.
• Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning from Unlabeled Videos and 3D-Shape Retrieval
  30 Mar 2016 1 repository listed
  Current best local descriptors are learned on a large dataset of matching and non-matching keypoint pairs.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.