Point Cloud Matters: Rethinking the Impact of Different Observation
Spaces on Robot Learning

Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning

4 February 2024

Di Huang

Weicai Ye

Wanli Ouyang

Papers citing "Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning"

16 / 16 papers shown

Title
$H$^{\mathbf{3}}$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning$ H $^{\mathbf{3}}$ DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning Yiyang Lu Yufeng Tian Zhecheng Yuan X. Wang Pu Hua Zhengrong Xue Huazhe Xu 31 0 0 12 May 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 61 0 0 03 Mar 2025
Towards Fusing Point Cloud and Visual Representations for Imitation Learning Atalay Donat Xiaogang Jia Xi Huang Aleksandar Taranovic Denis Blessing Ge Li Hongyi Zhou Hanyi Zhang Rudolf Lioutikov Gerhard Neumann 3DPC SSL 73 1 0 20 Feb 2025
SPA: 3D Spatial-Awareness Enables Effective Embodied Representation Haoyi Zhu Honghui Yang Yating Wang Jiange Yang Limin Wang Tong He 3DH 51 6 0 10 Oct 2024
MATCH POLICY: A Simple Pipeline from Point Cloud Registration to Manipulation Policies Haojie Huang Haotian Liu Dian Wang Robin Walters Robert Platt 3DPC 100 2 0 23 Sep 2024
SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy Alison Bartsch Arvind Car Charlotte Avra A. Farimani 38 5 0 15 Mar 2024
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning Xiaoyang Wu Xin Wen Xihui Liu Hengshuang Zhao 3DPC 117 40 0 24 Mar 2023
Real-World Robot Learning with Masked Visual Pre-training Ilija Radosavovic Tete Xiao Stephen James Pieter Abbeel Jitendra Malik Trevor Darrell SSL 156 239 0 06 Oct 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation Mohit Shridhar Lucas Manuelli D. Fox LM&Ro 161 457 0 12 Sep 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training Renrui Zhang Ziyu Guo Rongyao Fang Bingyan Zhao Dong Wang Yu Qiao Hongsheng Li Peng Gao 3DPC 178 244 0 28 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Ego4D: Around the World in 3,000 Hours of Egocentric Video Kristen Grauman Andrew Westbury Eugene Byrne Zachary Chavis Antonino Furnari ... Mike Zheng Shou Antonio Torralba Lorenzo Torresani Mingfei Yan Jitendra Malik EgoV 229 1,019 0 13 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,775 0 29 Apr 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 141 622 0 21 Jul 2020
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck D. Fox PINN 3DPC AI4CE 172 161 0 15 Jun 2018
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 14,103 0 02 Dec 2016