AffordanceSAM: Segment Anything Once More in Affordance Grounding
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Dengyang, Wang, Zanyi, Li, Hengzhuang, Dang, Sizhe, Ma, Teli, Wei, Wei, Dai, Guang, Zhang, Lei, Wang, Mengmeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deforming Videos to Masks: Flow Matching for Referring Video Segmentation
by: Wang, Zanyi, et al.
Published: (2025)
by: Wang, Zanyi, et al.
Published: (2025)
Unlocking the Potential of Grounding DINO in Videos: Parameter-Efficient Adaptation for Limited-Data Spatial-Temporal Localization
by: Wang, Zanyi, et al.
Published: (2026)
by: Wang, Zanyi, et al.
Published: (2026)
GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping
by: Ma, Teli, et al.
Published: (2024)
by: Ma, Teli, et al.
Published: (2024)
Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds
by: Li, Liuzhuozheng, et al.
Published: (2026)
by: Li, Liuzhuozheng, et al.
Published: (2026)
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
by: Gao, Xianqiang, et al.
Published: (2024)
by: Gao, Xianqiang, et al.
Published: (2024)
GLOVER++: Unleashing the Potential of Affordance Learning from Human Behaviors for Robotic Manipulation
by: Ma, Teli, et al.
Published: (2025)
by: Ma, Teli, et al.
Published: (2025)
Low-Biased General Annotated Dataset Generation
by: Jiang, Dengyang, et al.
Published: (2024)
by: Jiang, Dengyang, et al.
Published: (2024)
AffordanceLLM: Grounding Affordance from Vision Language Models
by: Qian, Shengyi, et al.
Published: (2024)
by: Qian, Shengyi, et al.
Published: (2024)
Closed-Loop Transfer for Weakly-supervised Affordance Grounding
by: Tang, Jiajin, et al.
Published: (2025)
by: Tang, Jiajin, et al.
Published: (2025)
TriCLIP-3D: A Unified Parameter-Efficient Framework for Tri-Modal 3D Visual Grounding based on CLIP
by: Li, Fan, et al.
Published: (2025)
by: Li, Fan, et al.
Published: (2025)
No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves
by: Jiang, Dengyang, et al.
Published: (2025)
by: Jiang, Dengyang, et al.
Published: (2025)
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
by: Wei, Xiaobao, et al.
Published: (2023)
by: Wei, Xiaobao, et al.
Published: (2023)
Visual-Geometric Collaborative Guidance for Affordance Learning
by: Luo, Hongchen, et al.
Published: (2024)
by: Luo, Hongchen, et al.
Published: (2024)
Unlocking 3D Affordance Segmentation with 2D Semantic Knowledge
by: Huang, Yu, et al.
Published: (2025)
by: Huang, Yu, et al.
Published: (2025)
Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Model
by: Wang, Hanqing, et al.
Published: (2025)
by: Wang, Hanqing, et al.
Published: (2025)
Segmenting Object Affordances: Reproducibility and Sensitivity to Scale
by: Apicella, Tommaso, et al.
Published: (2024)
by: Apicella, Tommaso, et al.
Published: (2024)
RemoteSAM: Towards Segment Anything for Earth Observation
by: Yao, Liang, et al.
Published: (2025)
by: Yao, Liang, et al.
Published: (2025)
PanoAffordanceNet: Towards Holistic Affordance Grounding in 360° Indoor Environments
by: Zhu, Guoliang, et al.
Published: (2026)
by: Zhu, Guoliang, et al.
Published: (2026)
Distribution Matching Distillation Meets Reinforcement Learning
by: Jiang, Dengyang, et al.
Published: (2025)
by: Jiang, Dengyang, et al.
Published: (2025)
Learning Visual Affordance from Audio
by: Lu, Lidong, et al.
Published: (2025)
by: Lu, Lidong, et al.
Published: (2025)
Grounding 3D Scene Affordance From Egocentric Interactions
by: Liu, Cuiyu, et al.
Published: (2024)
by: Liu, Cuiyu, et al.
Published: (2024)
Affostruction: 3D Affordance Grounding with Generative Reconstruction
by: Park, Chunghyun, et al.
Published: (2026)
by: Park, Chunghyun, et al.
Published: (2026)
SPDA-SAM: A Self-prompted Depth-Aware Segment Anything Model for Instance Segmentation
by: Shang, Yihan, et al.
Published: (2026)
by: Shang, Yihan, et al.
Published: (2026)
AffordanceGrasp-R1:Leveraging Reasoning-Based Affordance Segmentation with Reinforcement Learning for Robotic Grasping
by: Zhou, Dingyi, et al.
Published: (2026)
by: Zhou, Dingyi, et al.
Published: (2026)
InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing
by: Zhang, Jinlu, et al.
Published: (2025)
by: Zhang, Jinlu, et al.
Published: (2025)
JoDiffusion: Jointly Diffusing Image with Pixel-Level Annotations for Semantic Segmentation Promotion
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
Grounding by Remembering: Cross-Scene and In-Scene Memory for 3D Functional Affordances
by: Wang, Qirui, et al.
Published: (2026)
by: Wang, Qirui, et al.
Published: (2026)
SAM3-I: Segment Anything with Instructions
by: Li, Jingjing, et al.
Published: (2025)
by: Li, Jingjing, et al.
Published: (2025)
Self-Explainable Affordance Learning with Embodied Caption
by: Zhang, Zhipeng, et al.
Published: (2024)
by: Zhang, Zhipeng, et al.
Published: (2024)
SlimSAM: 0.1% Data Makes Segment Anything Slim
by: Chen, Zigeng, et al.
Published: (2023)
by: Chen, Zigeng, et al.
Published: (2023)
INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding
by: Jang, Ji Ha, et al.
Published: (2024)
by: Jang, Ji Ha, et al.
Published: (2024)
Leverage Task Context for Object Affordance Ranking
by: Huang, Haojie, et al.
Published: (2024)
by: Huang, Haojie, et al.
Published: (2024)
RobustSAM: Segment Anything Robustly on Degraded Images
by: Chen, Wei-Ting, et al.
Published: (2024)
by: Chen, Wei-Ting, et al.
Published: (2024)
HOI-PAGE: Zero-Shot Human-Object Interaction Generation with Part Affordance Guidance
by: Li, Lei, et al.
Published: (2025)
by: Li, Lei, et al.
Published: (2025)
HAMMER: Harnessing MLLM via Cross-Modal Integration for Intention-Driven 3D Affordance Grounding
by: Yao, Lei, et al.
Published: (2026)
by: Yao, Lei, et al.
Published: (2026)
X-SAM: From Segment Anything to Any Segmentation
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
SAM Audio: Segment Anything in Audio
by: Shi, Bowen, et al.
Published: (2025)
by: Shi, Bowen, et al.
Published: (2025)
Selective Contrastive Learning for Weakly Supervised Affordance Grounding
by: Moon, WonJun, et al.
Published: (2025)
by: Moon, WonJun, et al.
Published: (2025)
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)
by: Gao, Yifan, et al.
Published: (2023)
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
by: Wu, Junde, et al.
Published: (2023)
by: Wu, Junde, et al.
Published: (2023)
Similar Items
-
Deforming Videos to Masks: Flow Matching for Referring Video Segmentation
by: Wang, Zanyi, et al.
Published: (2025) -
Unlocking the Potential of Grounding DINO in Videos: Parameter-Efficient Adaptation for Limited-Data Spatial-Temporal Localization
by: Wang, Zanyi, et al.
Published: (2026) -
GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping
by: Ma, Teli, et al.
Published: (2024) -
Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds
by: Li, Liuzhuozheng, et al.
Published: (2026) -
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
by: Gao, Xianqiang, et al.
Published: (2024)