3D geometry

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 240 papers with code (684 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.

• Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
  9 Jun 2014 10 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Predicting depth is an essential component in understanding the 3D geometry of a scene.
• Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding
  11 Apr 2024 7 repositories listed Syntology ran 15 of 24 samples · 9 unverified · 24 pointer-only (licence)
  The adapter incorporates prior spatial knowledge from the source modality to guide the local feature aggregation of 3D tokens, compelling the semantic adaption of any-modality transformers.
• 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.
• Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
  18 Jul 2022 5 repositories listed Syntology ran 6 of 6 samples · 0 unverified
  Pretraining molecular representation models without labels is fundamental to various applications.
• 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…
• Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
  5 Apr 2018 5 repositories listed Syntology ran 1 of 12 samples · 11 unverified
  We propose an end-to-end deep learning architecture that produces a 3D shape in triangular mesh from a single color image.
• S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation
  2 Apr 2021 4 repositories listed
  S2R-DepthNet consists of: a) a Structure Extraction (STE) module which extracts a domaininvariant structural representation from an image by disentangling the image into domain-invariant structure and domain-specific…
• CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner
  23 May 2024 3 repositories listed Syntology ran 4 of 6 samples · 2 unverified · 6 pointer-only (licence)
  We present a novel generative 3D modeling system, coined CraftsMan, which can generate high-fidelity 3D geometries with highly varied shapes, regular mesh topologies, and detailed surfaces, and, notably, allows for…
• ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
  27 Feb 2024 3 repositories listed Syntology ran 9 of 17 samples · 8 unverified
  This paper presents ShapeLLM, the first 3D Multimodal Large Language Model (LLM) designed for embodied interaction, exploring a universal 3D object understanding with 3D point clouds and languages.
• NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection
  27 Jul 2023 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  We present NeRF-Det, a novel method for indoor 3D detection with posed RGB images as input.
• gRNAde: Geometric Deep Learning for 3D RNA inverse design
  24 May 2023 3 repositories listed Syntology ran 17 of 29 samples · 12 unverified
  Computational RNA design tasks are often posed as inverse problems, where sequences are designed based on adopting a single desired secondary structure without considering 3D conformational diversity.
• 3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
  6 Dec 2022 3 repositories listed
  To close the gap between image domains, we create a large-scale dataset of diverse faces with gaze pseudo-annotations, which we extract based on the 3D geometry of the scene, and design a multi-view supervision…
• Conditional Antibody Design as 3D Equivariant Graph Translation
  12 Aug 2022 3 repositories listed Syntology ran 11 of 26 samples · 15 unverified · 7 pointer-only (licence)
  Specifically, the relative improvement to baselines is about 23% in antigen-binding CDR design and 34% for affinity optimization.
• Conditional Object-Centric Learning from Video
  24 Nov 2021 3 repositories listed Syntology ran 11 of 13 samples · 2 unverified · 10 pointer-only (licence)
  Object-centric representations are a promising path toward more systematic generalization by providing flexible abstractions upon which compositional world models can be built.
• NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
  1 Apr 2021 3 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  We present a novel framework named NeuralRecon for real-time 3D scene reconstruction from a monocular video.
• Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
  8 Apr 2019 3 repositories listed
  In this paper, we present LidarStereoNet, the first unsupervised Lidar-stereo fusion network, which can be trained in an end-to-end manner without the need of ground truth depth maps.
• 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.
• Blending 3D Geometry and Machine Learning for Multi-View Stereopsis
  6 May 2025 2 repositories listed
  To our knowledge, GC MVSNet plus plus is the first method to enforce multi-view, multi-scale supervised geometric consistency during learning.
• CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights
  4 Jul 2024 2 repositories listed
  By incorporating FMs, we can capture the subtle tangential movements of the myocardium surface precisely, hence significantly improving the accuracy of 3D mapping of the myocardium.
• CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
  30 May 2024 2 repositories listed Syntology ran 3 of 8 samples · 5 unverified
  To narrow this disparity, we introduce CLAY, a 3D geometry and material generator designed to effortlessly transform human imagination into intricate 3D digital structures.
• GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
  18 Mar 2024 2 repositories listed
  We introduce GeoWizard, a new generative foundation model designed for estimating geometric attributes, e.
• SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection
  29 Mar 2023 2 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  Multi-view camera-based 3D object detection has become popular due to its low cost, but accurately inferring 3D geometry solely from camera data remains challenging and may lead to inferior performance.
• Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
  24 Mar 2023 2 repositories listed
  In this work, we investigate the problem of creating high-fidelity 3D content from only a single image.
• Is Distance Matrix Enough for Geometric Deep Learning?
  11 Feb 2023 2 repositories listed
  In this work, we first construct families of novel and symmetric geometric graphs that Vanilla DisGNN cannot distinguish even when considering all-pair distances, which greatly expands the existing counterexample…
• 3D Semantic Scene Perception using Distributed Smart Edge Sensors
  3 May 2022 2 repositories listed
  The proposed perception system provides a complete scene view containing semantically annotated 3D geometry and estimates 3D poses of multiple persons in real time.
• Efficient Geometry-aware 3D Generative Adversarial Networks
  15 Dec 2021 2 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  Unsupervised generation of high-quality multi-view-consistent images and 3D shapes using only collections of single-view 2D photographs has been a long-standing challenge.
• PartGlot: Learning Shape Part Segmentation from Language Reference Games
  13 Dec 2021 2 repositories listed
  We introduce PartGlot, a neural framework and associated architectures for learning semantic part segmentation of 3D shape geometry, based solely on part referential language.
• Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
  4 Oct 2021 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  Then HMGs are constructed with both atom-level and motif-level nodes.
• Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
  16 Mar 2021 2 repositories listed Syntology ran 7 of 10 samples · 3 unverified · 10 pointer-only (licence)
  In this paper, we go Back to the Feature: we argue that deep networks should focus on learning robust and invariant visual features, while the geometric estimation should be left to principled algorithms.
• Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
  26 Nov 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Specifically, we train a neural network to pull query 3D locations to their closest points on the surface using the predicted signed distance values and the gradient at the query locations, both of which are computed by…

Syntology lines on 19 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.