{"total":172,"rows":[{"id":"2111.04276","title":"Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis","created":"2021-11-08","cited_by_count":460,"area":null},{"id":"2311.13384","title":"LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes","created":"2023-11-22","cited_by_count":231,"area":null},{"id":"2110.03675","title":"ATISS: Autoregressive Transformers for Indoor Scene Synthesis","created":"2021-10-07","cited_by_count":200,"area":null},{"id":"2308.05371","title":"Flexible Isosurface Extraction for Gradient-Based Mesh Optimization","created":"2023-08-10","cited_by_count":139,"area":null},{"id":"2102.02798","title":"Im2Vec: Synthesizing Vector Graphics without Vector Supervision","created":"2021-02-04","cited_by_count":116,"area":null},{"id":"2104.07645","title":"A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation","created":"2021-04-15","cited_by_count":114,"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":"2403.13064","title":"SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model","created":"2024-03-19","cited_by_count":96,"area":null},{"id":"2204.07153","title":"What's in your hands? 3D Reconstruction of Generic Objects in Hands","created":"2022-04-14","cited_by_count":90,"area":null},{"id":"2406.08474","title":"Real2Code: Reconstruct Articulated Objects via Code Generation","created":"2024-06-12","cited_by_count":69,"area":null},{"id":"2103.12266","title":"Deep Implicit Moving Least-Squares Functions for 3D Reconstruction","created":"2021-03-23","cited_by_count":67,"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":"2211.15662","title":"High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization","created":"2022-11-28","cited_by_count":65,"area":null},{"id":"2104.05652","title":"CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly","created":"2021-04-12","cited_by_count":62,"area":null},{"id":"2204.10850","title":"Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation","created":"2022-04-22","cited_by_count":57,"area":null},{"id":"2104.11224","title":"KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control","created":"2021-04-22","cited_by_count":51,"area":null},{"id":"2108.11305","title":"CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing","created":"2021-08-25","cited_by_count":51,"area":null},{"id":"2411.14974","title":"3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes","created":"2024-11-22","cited_by_count":50,"area":null},{"id":"2303.10613","title":"SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations","created":"2023-03-19","cited_by_count":46,"area":null},{"id":"2106.03437","title":"Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds","created":"2021-06-07","cited_by_count":44,"area":null},{"id":"2207.08656","title":"Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes","created":"2022-07-18","cited_by_count":44,"area":null},{"id":"2205.14886","title":"Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors","created":"2022-05-30","cited_by_count":43,"area":null},{"id":"2108.09432","title":"ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators","created":"2021-08-21","cited_by_count":40,"area":null},{"id":"2301.11497","title":"D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts","created":"2023-01-27","cited_by_count":40,"area":null},{"id":"2209.15632","title":"ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing","created":"2022-09-30","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":"2105.10620","title":"HPNet: Deep Primitive Segmentation Using Hybrid Representations","created":"2021-05-22","cited_by_count":36,"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":"2208.00281","title":"Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding","created":"2022-07-30","cited_by_count":35,"area":null},{"id":"2303.12326","title":"Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding","created":"2023-03-22","cited_by_count":35,"area":null},{"id":"2408.01437","title":"Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization","created":"2024-07-19","cited_by_count":35,"area":null},{"id":"2206.04942","title":"Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes","created":"2022-06-10","cited_by_count":34,"area":null},{"id":"2103.02766","title":"PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds","created":"2021-03-04","cited_by_count":33,"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":"2108.05851","title":"Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations","created":"2021-08-12","cited_by_count":30,"area":null},{"id":"2112.06390","title":"PartGlot: Learning Shape Part Segmentation from Language Reference Games","created":"2021-12-13","cited_by_count":30,"area":null},{"id":"2108.13499","title":"Scene Synthesis via Uncertainty-Driven Attribute Synchronization","created":"2021-08-30","cited_by_count":29,"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":"2108.03746","title":"Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching","created":"2021-08-08","cited_by_count":26,"area":null},{"id":"2302.14268","title":"Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance","created":"2023-02-28","cited_by_count":26,"area":null},{"id":"2304.02163","title":"GINA-3D: Learning to Generate Implicit Neural Assets in the Wild","created":"2023-04-04","cited_by_count":25,"area":null},{"id":"2109.00113","title":"CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds","created":"2021-08-31","cited_by_count":24,"area":null},{"id":"2408.13711","title":"SceneDreamer360: Text-Driven 3D-Consistent Scene Generation with Panoramic Gaussian Splatting","created":"2024-08-25","cited_by_count":24,"area":null},{"id":"2207.04161","title":"Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space","created":"2022-07-09","cited_by_count":22,"area":null},{"id":"2107.04867","title":"Learning 3D Dense Correspondence via Canonical Point Autoencoder","created":"2021-07-10","cited_by_count":21,"area":null},{"id":"2110.06679","title":"EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation","created":"2021-10-13","cited_by_count":21,"area":null},{"id":"2204.09866","title":"Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images","created":"2022-04-21","cited_by_count":21,"area":null},{"id":"2504.00992","title":"SuperDec: 3D Scene Decomposition with Superquadric Primitives","created":"2025-04-01","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":"2108.08653","title":"3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces","created":"2021-08-19","cited_by_count":17,"area":null},{"id":"2508.14891","title":"GaussianArt: Unified Modeling of Geometry and Motion for Articulated Objects","created":"2025-08-20","cited_by_count":17,"area":null},{"id":"2104.00858","title":"Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction","created":"2021-04-02","cited_by_count":16,"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":"2111.15207","title":"NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping","created":"2021-11-30","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":"2207.12572","title":"Translating a Visual LEGO Manual to a Machine-Executable Plan","created":"2022-07-25","cited_by_count":15,"area":null},{"id":"2404.02759","title":"Unsupervised Occupancy Learning from Sparse Point Cloud","created":"2024-04-03","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":"2412.04247","title":"3D Part Segmentation via Geometric Aggregation of 2D Visual Features","created":"2024-12-05","cited_by_count":15,"area":null},{"id":"2504.19478","title":"CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design","created":"2025-04-28","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":"2309.02102","title":"Iterative Superquadric Recomposition of 3D Objects from Multiple Views","created":"2023-09-05","cited_by_count":13,"area":null},{"id":"2505.04622","title":"PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer","created":"2025-05-07","cited_by_count":13,"area":null},{"id":"2110.04411","title":"Unsupervised Pose-Aware Part Decomposition for 3D Articulated Objects","created":"2021-10-08","cited_by_count":12,"area":null},{"id":"2111.09383","title":"DeepCurrents: Learning Implicit Representations of Shapes with Boundaries","created":"2021-11-17","cited_by_count":12,"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":"2311.12125","title":"Mixing-Denoising Generalizable Occupancy Networks","created":"2023-11-20","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":"2107.11024","title":"A Deep Signed Directional Distance Function for Object Shape Representation","created":"2021-07-23","cited_by_count":10,"area":null},{"id":"2203.06558","title":"AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation","created":"2022-03-13","cited_by_count":10,"area":null},{"id":"2208.08580","title":"MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation","created":"2022-08-18","cited_by_count":10,"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":"2309.14972","title":"Improving Unsupervised Visual Program Inference with Code Rewriting Families","created":"2023-09-26","cited_by_count":10,"area":null},{"id":"2311.12967","title":"Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model","created":"2023-11-21","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":"2407.10542","title":"3D Geometric Shape Assembly via Efficient Point Cloud Matching","created":"2024-07-15","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":"2204.08824","title":"Semi-supervised 3D shape segmentation with multilevel consistency and part substitution","created":"2022-04-19","cited_by_count":8,"area":null},{"id":"2210.05735","title":"TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation","created":"2022-10-11","cited_by_count":8,"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":"2112.04481","title":"What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction","created":"2021-12-08","cited_by_count":7,"area":null},{"id":"2303.01999","title":"Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly","created":"2023-03-03","cited_by_count":7,"area":null},{"id":"2307.04246","title":"Convex Decomposition of Indoor Scenes","created":"2023-07-09","cited_by_count":7,"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":"2103.06182","title":"Dynamical Pose Estimation","created":"2021-03-10","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":"2509.24986","title":"Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes","created":"2025-09-29","cited_by_count":6,"area":null},{"id":"2106.13215","title":"GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes","created":"2021-06-24","cited_by_count":5,"area":null},{"id":"2106.14274","title":"Learning Mesh Representations via Binary Space Partitioning Tree Networks","created":"2021-06-27","cited_by_count":5,"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":"2203.10212","title":"Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction","created":"2022-03-19","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}],"next_cursor":"100"}