3D Shape Retrieval

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

3 datasets 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.

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (64 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.

• 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).
• Shape and Texture Recognition in Large Vision-Language Models
  29 Mar 2025 1 repository listed
  The ability to identify shapes regardless of orientation, texture, or context, and to recognize textures independently of their associated objects, is essential for general visual understanding of the world.
• Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed Human
  21 Nov 2024 1 repository listed
  Leveraging a Skinned Multi-Person Linear (SMPL) parametric body, we adjust the model parameters to faithfully reflect the shape and pose of the individual, relying on the mesh generated by a Pixel-aligned Implicit…
• KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation
  15 Mar 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverified
  Objects that are close in the embedding space are considered similar in geometry.
• Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects
  31 Dec 2023 1 repository listed
  Single-view 3D shape retrieval is a challenging task that is increasingly important with the growth of available 3D data.
• U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds
  11 Aug 2023 1 repository listed Syntology ran 6 of 14 samples · 8 unverified · 14 pointer-only (licence)
  In this paper, we propose U-RED, an Unsupervised shape REtrieval and Deformation pipeline that takes an arbitrary object observation as input, typically captured by RGB images or scans, and jointly retrieves and deforms…
• Towards 3D VR-Sketch to 3D Shape Retrieval
  20 Sep 2022 1 repository listed
  In this paper, we offer a different perspective towards answering these questions -- we study the use of 3D sketches as an input modality and advocate a VR-scenario where retrieval is conducted.
• Fine-Grained VR Sketching: Dataset and Insights
  20 Sep 2022 1 repository listed
  We then, for the first time, study the scenario of fine-grained 3D VR sketch to 3D shape retrieval, as a novel VR sketching application and a proving ground to drive out generic insights to inform future research.
• Structure-Aware 3D VR Sketch to 3D Shape Retrieval
  19 Sep 2022 1 repository listed
  In particular, we propose to use a triplet loss with an adaptive margin value driven by a "fitting gap", which is the similarity of two shapes under structure-preserving deformations.
• Joint Learning of 3D Shape Retrieval and Deformation
  19 Jan 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  In fact, we use the embedding space to guide the shape pairs used to train the deformation module, so that it invests its capacity in learning deformations between meaningful shape pairs.
• Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning
  1 Jan 2021 1 repository listed
  Inspired by the great success in recent contrastive learning works on self-supervised representation learning, we propose a novel IBSR pipeline leveraging contrastive learning.
• RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
  2 Oct 2020 1 repository listed
  Fine-grained 3D shape retrieval aims to retrieve 3D shapes similar to a query shape in a repository with models belonging to the same class, which requires shape descriptors to be capable of representing detailed…
• 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.
• 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…
• 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…
• 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 5 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.