3D Shape Representation

Description from the archive archive 2025-07-28.

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

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 41 papers with code (92 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.

• Occupancy Networks: Learning 3D Reconstruction in Function Space
  10 Dec 2018 7 repositories listed Syntology ran 13 of 23 samples · 10 unverified
  With the advent of deep neural networks, learning-based approaches for 3D reconstruction have gained popularity.
• DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
  16 Jan 2019 5 repositories listed Syntology ran 2 of 7 samples · 5 unverified · 1 pointer-only (licence)
  In this work, we introduce DeepSDF, a learned continuous Signed Distance Function (SDF) representation of a class of shapes that enables high quality shape representation, interpolation and completion from partial and…
• Learning Implicit Fields for Generative Shape Modeling
  6 Dec 2018 4 repositories listed
  We advocate the use of implicit fields for learning generative models of shapes and introduce an implicit field decoder, called IM-NET, for shape generation, aimed at improving the visual quality of the generated shapes.
• On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes
  17 Sep 2020 3 repositories listed
  Many prior works have focused on _latent-encoded_ neural implicits, where a latent vector encoding of a specific shape is also fed as input.
• Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
  22 Mar 2020 3 repositories listed Syntology ran 1 of 7 samples · 6 unverified
  In this work we address the challenging problem of multiview 3D surface reconstruction.
• BSP-Net: Generating Compact Meshes via Binary Space Partitioning
  16 Nov 2019 3 repositories listed
  The network is trained to reconstruct a shape using a set of convexes obtained from a BSP-tree built on a set of planes.
• 3D ShapeNets: A Deep Representation for Volumetric Shapes
  22 Jun 2014 3 repositories listed
  Our model, 3D ShapeNets, learns the distribution of complex 3D shapes across different object categories and arbitrary poses from raw CAD data, and discovers hierarchical compositional part representations automatically.
• 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
  26 Jan 2023 2 repositories listed Syntology ran 8 of 11 samples · 3 unverified
  We introduce 3DShape2VecSet, a novel shape representation for neural fields designed for generative diffusion models.
• DMNet: Delaunay Meshing Network for 3D Shape Representation
  1 Jan 2023 2 repositories listed
  We model the Delaunay triangulation as a dual graph, extract local geometric information from the points, and embed it into the structural representation of Delaunay triangulation in an organic way, benefiting…
• Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
  8 May 2019 2 repositories listed
  Generative models for 3D geometric data arise in many important applications in 3D computer vision and graphics.
• 3D Point Capsule Networks
  27 Dec 2018 2 repositories listed
  In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.
• 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.
• Learning Discriminative 3D Shape Representations by View Discerning Networks
  11 Aug 2018 2 repositories listed
  In this network, a Score Generation Unit is devised to evaluate the quality of each projected image with score vectors.
• PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization
  18 Feb 2025 1 repository listed
  Accurate 3D shape representation is essential in engineering applications such as design, optimization, and simulation.
• Unsupervised Occupancy Learning from Sparse Point Cloud
  3 Apr 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Implicit Neural Representations have gained prominence as a powerful framework for capturing complex data modalities, encompassing a wide range from 3D shapes to images and audio.
• EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation
  3 Nov 2023 1 repository listed
  This paper presents a new text-guided technique for generating 3D shapes.
• RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency
  30 Oct 2023 1 repository listed Syntology ran 12 of 13 samples · 1 unverified · 13 pointer-only (licence)
  In this paper, we study the problem of continuous 3D shape representations.
• ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields
  2 Oct 2023 1 repository listed
  Our proposed implicit occupancy representation enables efficient point classification, effectively discerning points belonging to the surface from non-surface points.
• On the Localization of Ultrasound Image Slices within Point Distribution Models
  1 Sep 2023 1 repository listed
  We demonstrate that our multi-modal registration framework can localize images on the 3D surface topology of a patient-specific organ and the mean shape of an SSM.
• Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map
  25 Aug 2023 1 repository listed
  We propose a learning framework for 3D facial attribute translation to relieve these limitations.
• 3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability
  26 Jul 2023 1 repository listed
  Our method utilizes implicit functions as the 3D shape representation and combines a novel latent-space GAN with a linear subspace model to discover semantic dimensions in the local latent space of 3D shapes.
• 3D VR Sketch Guided 3D Shape Prototyping and Exploration
  19 Jun 2023 1 repository listed
  3D shape modeling is labor-intensive, time-consuming, and requires years of expertise.
• OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
  18 May 2023 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  Due to their alignment with CLIP embeddings, our learned shape representations can also be integrated with off-the-shelf CLIP-based models for various applications, such as point cloud captioning and point…
• SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
  24 Jun 2022 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  We further complement the evaluation metrics of 3D generative models with the shading-image-based Fr\'echet inception distance (FID) scores to better assess visual quality and shape distribution of the generated shapes.
• Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds
  26 Mar 2022 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  However, the local codes are constrained at discrete and regular positions like grid points, which makes the code positions difficult to be optimized and limits their representation ability.
• 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.
• 3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces
  19 Aug 2021 1 repository listed
  Our experiments demonstrate the superiorities of our method in terms of representation power compared to the state-of-the-art methods in single RGB image 3D shape reconstruction.
• Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
  16 Aug 2021 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  In this way, each 3D shape with arbitrary views is represented by a fixed number of canonical view features, which are further aggregated to generate a rich and robust 3D shape representation for shape recognition.
• ACORN: Adaptive Coordinate Networks for Neural Scene Representation
  6 May 2021 1 repository listed Syntology ran 1 of 10 samples · 9 unverified
  Here, we introduce a new hybrid implicit-explicit network architecture and training strategy that adaptively allocates resources during training and inference based on the local complexity of a signal of interest.
• Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
  18 Dec 2020 1 repository listed
  3D object detection has recently become popular due to many applications in robotics, augmented reality, autonomy, and image retrieval.

Syntology lines on 12 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.