{"total":15,"rows":[{"id":"2103.14127","title":"Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes","created":"2021-03-25","cited_by_count":218,"area":null},{"id":"2104.08418","title":"FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling","created":"2021-04-17","cited_by_count":47,"area":null},{"id":"2109.11103","title":"Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling","created":"2021-09-23","cited_by_count":43,"area":null},{"id":"2103.04783","title":"DDGC: Generative Deep Dexterous Grasping in Clutter","created":"2021-03-08","cited_by_count":29,"area":null},{"id":"2510.20813","title":"GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation","created":"2025-10-23","cited_by_count":19,"area":null},{"id":"2311.12151","title":"Teaching Robots to Build Simulations of Themselves","created":"2023-11-20","cited_by_count":6,"area":null},{"id":"2410.07688","title":"PokeFlex: A Real-World Dataset of Volumetric Deformable Objects for Robotics","created":"2024-10-10","cited_by_count":4,"area":null},{"id":"2602.08058","title":"Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling","created":"2026-02-08","cited_by_count":4,"area":null},{"id":"2403.19022","title":"WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects under Occlusion","created":"2024-03-27","cited_by_count":3,"area":null},{"id":"2609.05416","title":"WorldSculpt: Generating Compositional Worlds from Grounded Videos","created":"2026-09-04","cited_by_count":2,"area":null},{"id":"2512.05079","title":"Object Reconstruction under Occlusion with Generative Priors and Contact-induced Constraints","created":"2025-12-04","cited_by_count":1,"area":null},{"id":"2411.19461","title":"Robust Bayesian Scene Reconstruction with Retrieval-Augmented Priors for Precise Grasping and Planning","created":"2024-11-29","cited_by_count":0,"area":null},{"id":"2505.11467","title":"Exploiting Radiance Fields for Grasp Generation on Novel Synthetic Views","created":"2025-05-16","cited_by_count":0,"area":null},{"id":"2604.24311","title":"BIMStruct3D: A Fully Automated Hybrid Learning Scan-to-BIM Pipeline with Integrated Topology Refinement","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2609.25654","title":"CODA: Depth-Aligned Scene Completion and Object Decomposition from a Single RGB-D Image","created":"2026-09-22","cited_by_count":0,"area":null}],"next_cursor":null}