ICGNet: A Unified Approach for Instance-Centric Grasping

ICGNet: A Unified Approach for Instance-Centric Grasping

18 January 2024

Francis Engelmann

Marco Hutter

Papers citing "ICGNet: A Unified Approach for Instance-Centric Grasping"

8 / 8 papers shown

Title
Search3D: Hierarchical Open-Vocabulary 3D Segmentation Ayca Takmaz Alexandros Delitzas R. Sumner Francis Engelmann Johanna Wald Federico Tombari 75 11 0 27 Sep 2024
OrbitGrasp: $SE(3)$ -Equivariant Grasp Learning Boce Hu Xupeng Zhu Dian Wang Zihao Dong Haojie Huang Chenghao Wang Robin Walters Robert Platt 3DPC 28 9 0 03 Jul 2024
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds Oliver Lemke Z. Bauer René Zurbrugg Marc Pollefeys Francis Engelmann Hermann Blum 3DPC 24 11 0 18 Apr 2024
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation Jonas Schult Francis Engelmann Alexander Hermans Or Litany Siyu Tang Bastian Leibe ISeg 50 164 0 06 Oct 2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion Julen Urain Niklas Funk Jan Peters Georgia Chalvatzaki DiffM 55 118 0 08 Sep 2022
Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation Nikhil Chavan-Dafle S. Popovych Shubham Agrawal Daniel D. Lee Volkan Isler 11 9 0 14 Sep 2021
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 229 971 0 10 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016