Image de couverture de livre

EqvAfford: SE(3) Equivariance for Point-Level Affordance Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Yue, Tie, Chenrui, Wu, Ruihai, Dong, Hao
Format:	Preprint
Publié:	2024
Sujets:	Robotics Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy
par: Tie, Chenrui, et autres
Publié: (2024)

Learning Part-Aware Dense 3D Feature Field for Generalizable Articulated Object Manipulation
par: Chen, Yue, et autres
Publié: (2026)

PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments
par: Ding, Kairui, et autres
Publié: (2024)

GarmentPile: Point-Level Visual Affordance Guided Retrieval and Adaptation for Cluttered Garments Manipulation
par: Wu, Ruihai, et autres
Publié: (2025)

Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
par: Eisner, Ben, et autres
Publié: (2024)

NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation
par: Xu, Ran, et autres
Publié: (2024)

Afford-X: Generalizable and Slim Affordance Reasoning for Task-oriented Manipulation
par: Zhu, Xiaomeng, et autres
Publié: (2025)

Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions
par: Wu, Ruihai, et autres
Publié: (2023)

AffordGrasp: Cross-Modal Diffusion for Affordance-Aware Grasp Synthesis
par: Wu, Xiaofei, et autres
Publié: (2026)

ManipGPT: Is Affordance Segmentation by Large Vision Models Enough for Articulated Object Manipulation?
par: Kim, Taewhan, et autres
Publié: (2024)

VoxAfford: Multi-Scale Voxel-Token Fusion for Open-Vocabulary 3D Affordance Detection
par: Sun, Haowen, et autres
Publié: (2026)

Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning
par: Zhang, Ray, et autres
Publié: (2024)

O$^3$Afford: One-Shot 3D Object-to-Object Affordance Grounding for Generalizable Robotic Manipulation
par: Tian, Tongxuan, et autres
Publié: (2025)

2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos
par: Heidinger, Marvin, et autres
Publié: (2025)

Efficient Equivariant Transformer for Self-Driving Agent Modeling
par: Xu, Scott, et autres
Publié: (2026)

Clebsch-Gordan Transformer: Fast and Global Equivariant Attention
par: Howell, Owen Lewis, et autres
Publié: (2025)

RT-Affordance: Affordances are Versatile Intermediate Representations for Robot Manipulation
par: Nasiriany, Soroush, et autres
Publié: (2024)

Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
par: Maruyama, Yoshihiro
Publié: (2025)

Information-driven Affordance Discovery for Efficient Robotic Manipulation
par: Mazzaglia, Pietro, et autres
Publié: (2024)

Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change
par: Sun, Tao, et autres
Publié: (2023)

AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction
par: Maksutova, Aiza, et autres
Publié: (2026)

ReSeFlow: Rectifying SE(3)-Equivariant Policy Learning Flows
par: Wang, Zhitao, et autres
Publié: (2025)

Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions
par: Orozco, Sergio, et autres
Publié: (2026)

EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
par: Chang, Jianlei, et autres
Publié: (2025)

Dense Policy: Bidirectional Autoregressive Learning of Actions
par: Su, Yue, et autres
Publié: (2025)

Unsupervised Change Detection for Space Habitats Using 3D Point Clouds
par: Santos, Jamie, et autres
Publié: (2023)

PointVLA: Injecting the 3D World into Vision-Language-Action Models
par: Li, Chengmeng, et autres
Publié: (2025)

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation
par: Jiang, Hanxiao, et autres
Publié: (2024)

Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images
par: Huang, JunYing, et autres
Publié: (2025)

3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds
par: Chu, Hengshuo, et autres
Publié: (2025)

GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy
par: Wang, Yixuan, et autres
Publié: (2024)

SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition
par: Saeid, Mohammad, et autres
Publié: (2026)

Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes
par: Li, Maximilian Xiling, et autres
Publié: (2025)

iVideoGPT: Interactive VideoGPTs are Scalable World Models
par: Wu, Jialong, et autres
Publié: (2024)

Application Research of a Deep Learning Model Integrating CycleGAN and YOLO in PCB Infrared Defect Detection
par: Yang, Chao, et autres
Publié: (2026)

Multi-Camera View Scaling for Data-Efficient Robot Imitation Learning
par: Xie, Yichen, et autres
Publié: (2026)

Learning Massively Multitask World Models for Continuous Control
par: Hansen, Nicklas, et autres
Publié: (2025)

ETAP: Event-based Tracking of Any Point
par: Hamann, Friedhelm, et autres
Publié: (2024)

Unsupervised Point Cloud Registration with Self-Distillation
par: Löwens, Christian, et autres
Publié: (2024)

MM-ACT: Learn from Multimodal Parallel Generation to Act
par: Liang, Haotian, et autres
Publié: (2025)