{"total":63,"rows":[{"id":"2203.13944","title":"SolidGen: An Autoregressive Model for Direct B-rep Synthesis","created":"2022-03-26","cited_by_count":80,"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":"2403.12409","title":"ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance","created":"2024-03-19","cited_by_count":59,"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":"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":"2312.04962","title":"Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds","created":"2023-12-07","cited_by_count":36,"area":null},{"id":"2504.14257","title":"HoLa: B-Rep Generation using a Holistic Latent Representation","created":"2025-04-19","cited_by_count":30,"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":"2210.10807","title":"Self-Supervised Representation Learning for CAD","created":"2022-10-19","cited_by_count":22,"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":"2503.13110","title":"DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry","created":"2025-03-17","cited_by_count":21,"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":"2309.16909","title":"ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility","created":"2023-09-29","cited_by_count":18,"area":null},{"id":"2205.14573","title":"ComplexGen: CAD Reconstruction by B-Rep Chain Complex Generation","created":"2022-05-29","cited_by_count":17,"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":"2402.17695","title":"Geometric Deep Learning for Computer-Aided Design: A Survey","created":"2024-02-27","cited_by_count":14,"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":"2511.22171","title":"BrepGPT: Autoregressive B-rep Generation with Voronoi Half-Patch","created":"2025-11-27","cited_by_count":13,"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":"2411.10848","title":"NeuroNURBS: Learning Efficient Surface Representations for 3D Solids","created":"2024-11-16","cited_by_count":8,"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":"2608.09296","title":"CADEngBench: It Looks Like CAD, but Does It Work? Evaluating Parametric Design, Assembly Reasoning, and Physics Simulation","created":"2026-08-10","cited_by_count":5,"area":null},{"id":"2209.10191","title":"Implicit Conversion of Manifold B-Rep Solids by Neural Halfspace Representation","created":"2022-09-21","cited_by_count":4,"area":null},{"id":"2210.01021","title":"Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction","created":"2022-10-03","cited_by_count":4,"area":null},{"id":"2512.04770","title":"Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges","created":"2025-12-04","cited_by_count":4,"area":null},{"id":"2209.12793","title":"Material Prediction for Design Automation Using Graph Representation Learning","created":"2022-09-26","cited_by_count":3,"area":null},{"id":"2305.01220","title":"A Survey of Methods for Converting Unstructured Data to CSG Models","created":"2023-05-02","cited_by_count":3,"area":null},{"id":"2603.14927","title":"Masked BRep Autoencoder via Hierarchical Graph Transformer","created":"2026-03-16","cited_by_count":3,"area":null},{"id":"2604.16170","title":"neuralCAD-Edit: An Expert Benchmark for Multimodal-Instructed 3D CAD Model Editing","created":"2026-04-17","cited_by_count":3,"area":null},{"id":"2208.01779","title":"Mates2Motion: Learning How Mechanical CAD Assemblies Work","created":"2022-08-02","cited_by_count":2,"area":null},{"id":"2305.17252","title":"Generalizable Pose Estimation Using Implicit Scene Representations","created":"2023-05-26","cited_by_count":2,"area":null},{"id":"2309.02583","title":"Representation Learning for Sequential Volumetric Design Tasks","created":"2023-09-05","cited_by_count":2,"area":null},{"id":"2506.05417","title":"Better STEP, a format and dataset for boundary representation","created":"2025-06-04","cited_by_count":2,"area":null},{"id":"2512.11199","title":"CADKnitter: Compositional CAD Generation from Text and Geometry Guidance","created":"2025-12-12","cited_by_count":2,"area":null},{"id":"2605.17448","title":"Self-Improving CAD Generation Agents with Finite Element Analysis as Feedback","created":"2026-05-17","cited_by_count":2,"area":null},{"id":"2304.14275","title":"What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models through User-Provided Names in CAD Files","created":"2023-04-25","cited_by_count":1,"area":null},{"id":"2406.08863","title":"Self-supervised Graph Neural Network for Mechanical CAD Retrieval","created":"2024-06-13","cited_by_count":1,"area":null},{"id":"2411.07747","title":"Constraint-Aware Feature Learning for Parametric Point Cloud","created":"2024-11-12","cited_by_count":1,"area":null},{"id":"2604.02847","title":"HiDiGen: Hierarchical Diffusion for B-Rep Generation with Explicit Topological Constraints","created":"2026-04-03","cited_by_count":1,"area":null},{"id":"2607.20642","title":"Masked Topology Modeling for Self-Supervised Learning on Parametric CAD","created":"2026-07-22","cited_by_count":1,"area":null},{"id":"2306.05123","title":"A Meta-Generation framework for Industrial System Generation","created":"2023-06-08","cited_by_count":0,"area":null},{"id":"2503.23213","title":"RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Models","created":"2025-03-29","cited_by_count":0,"area":null},{"id":"2512.03237","title":"LLM-Guided Material Inference for 3D Point Clouds","created":"2025-12-02","cited_by_count":0,"area":null},{"id":"2512.04568","title":"Prompt2Craft: Generating Functional Craft Assemblies with LLMs","created":"2025-12-04","cited_by_count":0,"area":null},{"id":"2602.07429","title":"Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers","created":"2026-02-07","cited_by_count":0,"area":null},{"id":"2604.14927","title":"STEP-Parts: Geometric Partitioning of Boundary Representations for Large-Scale CAD Processing","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2604.19596","title":"PC2Model: ISPRS benchmark on 3D point cloud to model registration","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2606.01702","title":"KDH-CAD: Knowledge-data hybrid CAD learning under data scarcity","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.01891","title":"MidSurfNet: Learning Face Pairing for Mid-surface Abstraction of Thin-walled CAD Models","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.04891","title":"Hierarchical Space Partition for Surface Reconstruction","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.07115","title":"3DMorph: Single-Image-Guided Local 3D Shape Editing and Morphing","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2607.01205","title":"Linkify: Learning from Interface-Augmented Assembly Graphs","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.05125","title":"Three-Phase Evaluation of AI-Assisted Software Development Life Cycle","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2608.00800","title":"AIMold: An Autonomous AI-based Pipeline for Complex Mold Design","created":"2026-08-01","cited_by_count":0,"area":null},{"id":"2608.16485","title":"HiFi-BRep: High-Fidelity Latent Representation for Robust B-Rep Generation","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.11573","title":"Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.15122","title":"DepthBenchCAD: When Does Deeper Auditing Yield More Reliable Conclusions?","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2610.13466","title":"A Real-World CAD Segmentation Benchmark: Comparing Rule-Based and Learning-Based Approaches through Hole Detection","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}