3D Shape Reconstruction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

9 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 66 papers with code (139 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.

• Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
  16 Jan 2022 17 repositories listed Syntology ran 18 of 44 samples · 26 unverified · 9 pointer-only (licence)
  Neural graphics primitives, parameterized by fully connected neural networks, can be costly to train and evaluate.
• Multi-Garment Net: Learning to Dress 3D People from Images
  19 Aug 2019 6 repositories listed
  We present Multi-Garment Network (MGN), a method to predict body shape and clothing, layered on top of the SMPL model from a few frames (1-8) of a video.
• VIBE: Video Inference for Human Body Pose and Shape Estimation
  11 Dec 2019 5 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Human motion is fundamental to understanding behavior.
• CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation
  3 Mar 2022 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  This paper studies the complex task of simultaneous multi-object 3D reconstruction, 6D pose and size estimation from a single-view RGB-D observation.
• The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction
  18 Jan 2021 3 repositories listed
  Continual learning has been extensively studied for classification tasks with methods developed to primarily avoid catastrophic forgetting, a phenomenon where earlier learned concepts are forgotten at the expense of…
• PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
  1 Apr 2020 3 repositories listed
  Although current approaches have demonstrated the potential in real world settings, they still fail to produce reconstructions with the level of detail often present in the input images.
• Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers
  29 Apr 2018 3 repositories listed
  We scale this baseline to higher resolutions by proposing a memory-efficient shape encoding, which recursively decomposes a 3D shape into nested shape layers, similar to the pieces of a Matryoshka doll.
• 3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks
  20 Jul 2017 3 repositories listed
  The decoder converts this representation into depth and normal maps capturing the underlying surface from several output viewpoints.
• ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
  27 Jul 2022 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  A novel disentangled shape and appearance database of priors is first learned to embed objects in their respective shape and appearance space.
• Active 3D Shape Reconstruction from Vision and Touch
  20 Jul 2021 2 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  In this paper, we focus on this problem and introduce a system composed of: 1) a haptic simulator leveraging high spatial resolution vision-based tactile sensors for active touching of 3D objects; 2)a mesh-based 3D…
• Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild
  30 Jul 2020 2 repositories listed
  We present a method that infers spatial arrangements and shapes of humans and objects in a globally consistent 3D scene, all from a single image in-the-wild captured in an uncontrolled environment.
• 3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning
  27 Jul 2020 2 repositories listed
  3D human shape and pose estimation from monocular images has been an active area of research in computer vision, having a substantial impact on the development of new applications, from activity recognition to creating…
• 3D Reconstruction of Novel Object Shapes from Single Images
  14 Jun 2020 2 repositories listed
  This is challenging as it requires a model to learn a representation that can infer both the visible and occluded portions of any object using a limited training set.
• TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
  10 Mar 2020 2 repositories listed
  While the low-frequency component is predicted from pose, shape and style parameters with an MLP, the high-frequency component is predicted with a mixture of shape-style specific pose models.
• Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods
  23 Apr 2019 2 repositories listed
  This method not only allows us to analytically and compactly represent the object, it also confers on us the ability to overcome calibration related noise that originates from inaccurate acquisition parameters.
• 3D Shape Completion using Multi-Resolution Spectral Encoding
  1 Mar 2025 1 repository listed
  These attention maps are leveraged differently in pretraining and in the later training and inference stages of our approach to produce the reconstructed 3D shape.
• From Transparent to Opaque: Rethinking Neural Implicit Surfaces with α-NeuS
  8 Nov 2024 1 repository listed Syntology ran 3 of 7 samples · 4 unverified · 7 pointer-only (licence)
  We find that transparent and opaque surfaces align with the non-negative local minima and the zero iso-surface, respectively, in the learned distance field of NeuS.
• CenterArt: Joint Shape Reconstruction and 6-DoF Grasp Estimation of Articulated Objects
  23 Apr 2024 1 repository listed
  Precisely grasping and reconstructing articulated objects is key to enabling general robotic manipulation.
• PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction
  16 Apr 2024 1 repository listed
  In our experiments, we apply our algorithm to reconstruct 3D objects in the ScanNet dataset and evaluate our results against CAD model retrieval-based reconstructions.
• Bayesian Diffusion Models for 3D Shape Reconstruction
  11 Mar 2024 1 repository listed
  We present Bayesian Diffusion Models (BDM), a prediction algorithm that performs effective Bayesian inference by tightly coupling the top-down (prior) information with the bottom-up (data-driven) procedure via joint…
• ZeroShape: Regression-based Zero-shot Shape Reconstruction
  21 Dec 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  In contrast, the traditional approach to this problem is regression-based, where deterministic models are trained to directly regress the object shape.
• Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction
  24 Sep 2023 1 repository listed
  Our results show that attention-based methods that capture global spatial relationships tend to perform better across all anatomies and datasets; performance on clinically relevant subgroups may be overestimated without…
• Neural Poisson Surface Reconstruction: Resolution-Agnostic Shape Reconstruction from Point Clouds
  3 Aug 2023 1 repository listed
  Overall, the neural Poisson surface reconstruction not only improves upon the limitations of classical deep neural networks in shape reconstruction but also achieves superior results in terms of reconstruction quality,…
• Mesh Density Adaptation for Template-based Shape Reconstruction
  30 Jul 2023 1 repository listed
  In 3D shape reconstruction based on template mesh deformation, a regularization, such as smoothness energy, is employed to guide the reconstruction into a desirable direction.
• SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings
  23 Jul 2023 1 repository listed
  Modern medical image segmentation methods primarily use discrete representations in the form of rasterized masks to learn features and generate predictions.
• Real-time Simultaneous Multi-Object 3D Shape Reconstruction, 6DoF Pose Estimation and Dense Grasp Prediction
  16 May 2023 1 repository listed
  In this paper, we present a novel method to provide this geometric and semantic information of all objects in the scene as well as feasible grasps on those objects simultaneously.
• gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction
  24 Apr 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In particular, we address reconstruction of hands and manipulated objects from monocular RGB images.
• Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics
  18 Apr 2023 1 repository listed
  We work towards detecting mishandling of parcels by presenting a novel architecture called CubeRefine R-CNN, which combines estimating a 3D bounding box with an iterative mesh refinement.
• Multi-View Azimuth Stereo via Tangent Space Consistency
  29 Mar 2023 1 repository listed
  We present a method for 3D reconstruction only using calibrated multi-view surface azimuth maps.
• NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
  16 Mar 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  However, given a set of 3D shapes with associated covariates there is at present no shape representation method which allows to precisely represent the shapes while capturing the individual dependencies on each…

Syntology lines on 9 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.