{"total":57,"rows":[{"id":"2111.12772","title":"JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints","created":"2021-11-24","cited_by_count":78,"area":null},{"id":"2410.16499","title":"SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects","created":"2024-10-21","cited_by_count":69,"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":"2210.11463","title":"Breaking Bad: A Dataset for Geometric Fracture and Reassembly","created":"2022-10-20","cited_by_count":41,"area":null},{"id":"2107.12859","title":"RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly","created":"2021-07-27","cited_by_count":36,"area":null},{"id":"2305.17975","title":"Jigsaw: Learning to Assemble Multiple Fractured Objects","created":"2023-05-29","cited_by_count":29,"area":null},{"id":"2309.06810","title":"Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly","created":"2023-09-13","cited_by_count":28,"area":null},{"id":"2510.20155","title":"PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding","created":"2025-10-23","cited_by_count":26,"area":null},{"id":"2305.16315","title":"NAP: Neural 3D Articulation Prior","created":"2023-05-25","cited_by_count":25,"area":null},{"id":"2302.01881","title":"IKEA-Manual: Seeing Shape Assembly Step by Step","created":"2023-02-03","cited_by_count":22,"area":null},{"id":"2303.06163","title":"Category-Level Multi-Part Multi-Joint 3D Shape Assembly","created":"2023-03-10","cited_by_count":22,"area":null},{"id":"2207.01779","title":"3D Part Assembly Generation with Instance Encoded Transformer","created":"2022-07-05","cited_by_count":19,"area":null},{"id":"2402.17464","title":"Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing","created":"2024-02-27","cited_by_count":19,"area":null},{"id":"2410.24010","title":"Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving","created":"2024-10-31","cited_by_count":19,"area":null},{"id":"2303.14152","title":"Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts","created":"2023-03-24","cited_by_count":18,"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":"2406.00259","title":"PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify","created":"2024-06-01","cited_by_count":15,"area":null},{"id":"2112.10143","title":"RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment","created":"2021-12-19","cited_by_count":14,"area":null},{"id":"2312.12340","title":"Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers","created":"2023-12-19","cited_by_count":14,"area":null},{"id":"2402.17695","title":"Geometric Deep Learning for Computer-Aided Design: A Survey","created":"2024-02-27","cited_by_count":14,"area":null},{"id":"2506.05282","title":"Rectified Point Flow: Generic Point Cloud Pose Estimation","created":"2025-06-05","cited_by_count":14,"area":null},{"id":"2105.12238","title":"AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD Assemblies","created":"2021-05-25","cited_by_count":13,"area":null},{"id":"2504.05400","title":"GARF: Learning Generalizable 3D Reassembly for Real-World Fractures","created":"2025-04-07","cited_by_count":13,"area":null},{"id":"2504.06961","title":"Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation","created":"2025-04-09","cited_by_count":13,"area":null},{"id":"2307.00206","title":"Rearrangement Planning for General Part Assembly","created":"2023-07-01","cited_by_count":12,"area":null},{"id":"2309.04220","title":"Score-PA: Score-based 3D Part Assembly","created":"2023-09-08","cited_by_count":12,"area":null},{"id":"2403.05874","title":"SPAFormer: Sequential 3D Part Assembly with Transformers","created":"2024-03-09","cited_by_count":12,"area":null},{"id":"2411.11409","title":"IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos","created":"2024-11-18","cited_by_count":12,"area":null},{"id":"2506.17074","title":"Assembler: Scalable 3D Part Assembly via Anchor Point Diffusion","created":"2025-06-20","cited_by_count":12,"area":null},{"id":"2510.21432","title":"ArtiLatent: Realistic Articulated 3D Object Generation via Structured Latents","created":"2025-10-24","cited_by_count":11,"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":"2410.14770","title":"A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts","created":"2024-10-18","cited_by_count":9,"area":null},{"id":"2112.00584","title":"The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts","created":"2021-12-01","cited_by_count":7,"area":null},{"id":"2411.18011","title":"Manual-PA: Learning 3D Part Assembly from Instruction Diagrams","created":"2024-11-27","cited_by_count":7,"area":null},{"id":"2312.10571","title":"Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection","created":"2023-12-17","cited_by_count":6,"area":null},{"id":"2410.11816","title":"Jigsaw++: Imagining Complete Shape Priors for Object Reassembly","created":"2024-10-15","cited_by_count":6,"area":null},{"id":"2506.06221","title":"BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly","created":"2025-06-06","cited_by_count":5,"area":null},{"id":"2107.05789","title":"Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities","created":"2021-07-13","cited_by_count":4,"area":null},{"id":"2407.09167","title":"SE(3)-bi-equivariant Transformers for Point Cloud Assembly","created":"2024-07-12","cited_by_count":4,"area":null},{"id":"2403.18195","title":"SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network","created":"2024-03-27","cited_by_count":3,"area":null},{"id":"2407.15648","title":"TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly","created":"2024-07-22","cited_by_count":3,"area":null},{"id":"2410.01111","title":"Learning to Build by Building Your Own Instructions","created":"2024-10-01","cited_by_count":3,"area":null},{"id":"2411.17788","title":"Geometric Point Attention Transformer for 3D Shape Reassembly","created":"2024-11-26","cited_by_count":3,"area":null},{"id":"2508.09780","title":"Combinative Matching for Geometric Shape Assembly","created":"2025-08-13","cited_by_count":3,"area":null},{"id":"2601.11076","title":"A3D: Adaptive Affordance Assembly with Dual-Arm Manipulation","created":"2026-01-16","cited_by_count":3,"area":null},{"id":"2209.07268","title":"AssembleRL: Learning to Assemble Furniture from Their Point Clouds","created":"2022-09-15","cited_by_count":2,"area":null},{"id":"2306.02782","title":"Reassembling Broken Objects using Breaking Curves","created":"2023-06-05","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":"2511.21422","title":"E-M3RF: An Equivariant Multimodal 3D Re-assembly Framework","created":"2025-11-26","cited_by_count":1,"area":null},{"id":"2603.21611","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","created":"2026-03-23","cited_by_count":1,"area":null},{"id":"2401.09384","title":"Diverse Part Synthesis for 3D Shape Creation","created":"2024-01-17","cited_by_count":0,"area":null},{"id":"2405.06828","title":"G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping","created":"2024-05-10","cited_by_count":0,"area":null},{"id":"2608.19968","title":"PVRA: A Pointwise Key-point Voting Framework for Robotic Assembly","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2609.19872","title":"PART: Learning 3D Part Assembly and Retrieval with Transformers","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.40353","title":"AssemblyWorld: Rethinking 3D Assembly with General-Purpose Agents","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.14633","title":"Automatic assembly modeling through attention-based assembly feature mate prediction and assembly feature pattern recognition","created":"2026-10-10","cited_by_count":0,"area":null},{"id":"2610.18604","title":"LLM2R: From Large Language Models to 3D Reassemblers","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}