{"total":69,"rows":[{"id":"2110.03675","title":"ATISS: Autoregressive Transformers for Indoor Scene Synthesis","created":"2021-10-07","cited_by_count":200,"area":null},{"id":"2401.09419","title":"GARField: Group Anything with Radiance Fields","created":"2024-01-17","cited_by_count":109,"area":null},{"id":"2103.10429","title":"Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks","created":"2021-03-18","cited_by_count":103,"area":null},{"id":"2201.01831","title":"POCO: Point Convolution for Surface Reconstruction","created":"2022-01-05","cited_by_count":92,"area":null},{"id":"2205.02961","title":"Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search","created":"2022-05-05","cited_by_count":67,"area":null},{"id":"2207.03434","title":"LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery","created":"2022-07-07","cited_by_count":66,"area":null},{"id":"2201.00785","title":"Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning","created":"2022-01-03","cited_by_count":46,"area":null},{"id":"2105.08612","title":"SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data","created":"2021-05-18","cited_by_count":38,"area":null},{"id":"2307.05473","title":"Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives","created":"2023-07-11","cited_by_count":38,"area":null},{"id":"2202.13519","title":"PartAfford: Part-level Affordance Discovery from 3D Objects","created":"2022-02-28","cited_by_count":36,"area":null},{"id":"2303.09554","title":"PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision","created":"2023-03-16","cited_by_count":36,"area":null},{"id":"2212.11042","title":"Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble","created":"2022-12-21","cited_by_count":31,"area":null},{"id":"2111.14517","title":"Robust and Accurate Superquadric Recovery: a Probabilistic Approach","created":"2021-11-29","cited_by_count":29,"area":null},{"id":"2201.13168","title":"SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation","created":"2022-01-31","cited_by_count":28,"area":null},{"id":"2207.08631","title":"Latent Partition Implicit with Surface Codes for 3D Representation","created":"2022-07-18","cited_by_count":21,"area":null},{"id":"2512.04021","title":"C3G: Learning Compact 3D Representations with 2K Gaussians","created":"2025-12-03","cited_by_count":21,"area":null},{"id":"2201.12763","title":"RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures","created":"2022-01-30","cited_by_count":19,"area":null},{"id":"2303.13190","title":"Marching-Primitives: Shape Abstraction from Signed Distance Function","created":"2023-03-23","cited_by_count":19,"area":null},{"id":"2105.02047","title":"Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images","created":"2021-05-05","cited_by_count":17,"area":null},{"id":"2111.14673","title":"3D Compositional Zero-shot Learning with DeCompositional Consensus","created":"2021-11-29","cited_by_count":16,"area":null},{"id":"2203.14714","title":"Primitive-based Shape Abstraction via Nonparametric Bayesian Inference","created":"2022-03-28","cited_by_count":15,"area":null},{"id":"2407.13677","title":"PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers","created":"2024-07-18","cited_by_count":15,"area":null},{"id":"2312.04043","title":"Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes","created":"2023-12-07","cited_by_count":14,"area":null},{"id":"2403.18062","title":"ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition","created":"2024-03-26","cited_by_count":14,"area":null},{"id":"2107.13629","title":"Discovering 3D Parts from Image Collections","created":"2021-07-28","cited_by_count":13,"area":null},{"id":"2203.07694","title":"Implicit field supervision for robust non-rigid shape matching","created":"2022-03-15","cited_by_count":13,"area":null},{"id":"2309.02102","title":"Iterative Superquadric Recomposition of 3D Objects from Multiple Views","created":"2023-09-05","cited_by_count":13,"area":null},{"id":"2309.12594","title":"DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image","created":"2023-09-22","cited_by_count":12,"area":null},{"id":"2207.14268","title":"MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud","created":"2022-07-28","cited_by_count":11,"area":null},{"id":"2308.13225","title":"DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects","created":"2023-08-25","cited_by_count":10,"area":null},{"id":"2104.00476","title":"Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors","created":"2021-04-01","cited_by_count":9,"area":null},{"id":"2203.11194","title":"Test-time Adaptation with Slot-Centric Models","created":"2022-03-21","cited_by_count":9,"area":null},{"id":"2502.12985","title":"PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization","created":"2025-02-18","cited_by_count":9,"area":null},{"id":"2408.10789","title":"Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics","created":"2024-08-20","cited_by_count":8,"area":null},{"id":"2311.13125","title":"DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation","created":"2023-11-22","cited_by_count":7,"area":null},{"id":"2110.03473","title":"Unsupervised Image Decomposition with Phase-Correlation Networks","created":"2021-10-07","cited_by_count":6,"area":null},{"id":"2112.13942","title":"PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation","created":"2021-12-27","cited_by_count":6,"area":null},{"id":"2410.01535","title":"GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians","created":"2024-10-02","cited_by_count":6,"area":null},{"id":"2109.10767","title":"HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation","created":"2021-09-22","cited_by_count":5,"area":null},{"id":"2304.09704","title":"Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans","created":"2023-04-19","cited_by_count":5,"area":null},{"id":"2309.01035","title":"Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency","created":"2023-09-02","cited_by_count":5,"area":null},{"id":"2404.00875","title":"DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly","created":"2024-04-01","cited_by_count":5,"area":null},{"id":"2407.06305","title":"SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers","created":"2024-07-08","cited_by_count":5,"area":null},{"id":"2603.23386","title":"SIMART: Decomposing Monolithic Meshes into Sim-ready Articulated Assets via MLLM","created":"2026-03-24","cited_by_count":5,"area":null},{"id":"2102.05984","title":"Modeling 3D Surface Manifolds with a Locally Conditioned Atlas","created":"2021-02-11","cited_by_count":3,"area":null},{"id":"2109.04153","title":"Single Image 3D Object Estimation with Primitive Graph Networks","created":"2021-09-09","cited_by_count":3,"area":null},{"id":"2303.02879","title":"A Review of Deep Learning-Powered Mesh Reconstruction Methods","created":"2023-03-06","cited_by_count":3,"area":null},{"id":"2312.15610","title":"Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks","created":"2023-12-25","cited_by_count":3,"area":null},{"id":"2403.10452","title":"Robust Shape Fitting for 3D Scene Abstraction","created":"2024-03-15","cited_by_count":3,"area":null},{"id":"2607.01015","title":"SuperFlex: Deformable Superquadrics for Point Cloud Decomposition","created":"2026-07-01","cited_by_count":3,"area":null},{"id":"2203.07825","title":"SPA-VAE: Similar-Parts-Assignment for Unsupervised 3D Point Cloud Generation","created":"2022-03-15","cited_by_count":2,"area":null},{"id":"2211.00382","title":"Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing","created":"2022-11-01","cited_by_count":2,"area":null},{"id":"2212.14276","title":"Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects","created":"2022-12-29","cited_by_count":2,"area":null},{"id":"2402.01303","title":"AGILE: Approach-based Grasp Inference Learned from Element Decomposition","created":"2024-02-02","cited_by_count":2,"area":null},{"id":"2503.06947","title":"Aligning Instance-Semantic Sparse Representation towards Unsupervised Object Segmentation and Shape Abstraction with Repeatable Primitives","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2603.09285","title":"Learning Convex Decomposition via Feature Fields","created":"2026-03-10","cited_by_count":2,"area":null},{"id":"2110.03628","title":"Boxhead: A Dataset for Learning Hierarchical Representations","created":"2021-10-07","cited_by_count":1,"area":null},{"id":"2211.10880","title":"PartCom: Part Composition Learning for 3D Open-Set Recognition","created":"2022-11-20","cited_by_count":1,"area":null},{"id":"2407.14001","title":"Component Selection for Craft Assembly Tasks","created":"2024-07-19","cited_by_count":1,"area":null},{"id":"2604.00862","title":"Shape Representation using Gaussian Process mixture models","created":"2026-04-01","cited_by_count":1,"area":null},{"id":"2209.02385","title":"Inferring Implicit 3D Representations from Human Figures on Pictorial Maps","created":"2022-08-30","cited_by_count":0,"area":null},{"id":"2209.07619","title":"Hierarchical Superquadric Decomposition with Implicit Space Separation","created":"2022-09-15","cited_by_count":0,"area":null},{"id":"2211.07082","title":"Learning Latent Part-Whole Hierarchies for Point Clouds","created":"2022-11-14","cited_by_count":0,"area":null},{"id":"2304.04861","title":"ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping","created":"2023-04-10","cited_by_count":0,"area":null},{"id":"2404.16471","title":"COBRA -- COnfidence score Based on shape Regression Analysis for method-independent quality assessment of object pose estimation from single images","created":"2024-04-25","cited_by_count":0,"area":null},{"id":"2506.06757","title":"SAR2Struct: Extracting 3D Semantic Structural Representation of Aircraft Targets from Single-View SAR Image","created":"2025-06-07","cited_by_count":0,"area":null},{"id":"2510.27088","title":"Hierarchical Transformers for Unsupervised 3D Shape Abstraction","created":"2025-10-31","cited_by_count":0,"area":null},{"id":"2604.17082","title":"D-Prism: Differentiable Primitives for Structured Dynamic Modeling","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2609.35725","title":"Superquadric Primitive Decomposition of 3D point clouds via Geometric-Aware Inlier Refinement","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}