Cover Image

TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Wenting, Ila, Viorela, Zhou, Luping, Jin, Craig T.
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Surf-NeRF: Surface Regularised Neural Radiance Fields
by: Naylor, Jack, et al.
Published: (2024)

SceneParser: Hierarchical Scene Parsing for Visual Semantics Understanding
by: Xu, Pengxin, et al.
Published: (2026)

Grounding by Remembering: Cross-Scene and In-Scene Memory for 3D Functional Affordances
by: Wang, Qirui, et al.
Published: (2026)

SceneTeract: Agentic Functional Affordances and VLM Grounding in 3D Scenes
by: Maillard, Léopold, et al.
Published: (2026)

AffordMatcher: Affordance Learning in 3D Scenes from Visual Signifiers
by: Vu, Nghia, et al.
Published: (2026)

Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers
by: Huang, Haifeng, et al.
Published: (2023)

A Unified Framework for 3D Scene Understanding
by: Xu, Wei, et al.
Published: (2024)

Grounding 3D Scene Affordance From Egocentric Interactions
by: Liu, Cuiyu, et al.
Published: (2024)

Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
by: Gao, Xianqiang, et al.
Published: (2024)

SeqAffordSplat: Scene-level Sequential Affordance Reasoning on 3D Gaussian Splatting
by: Li, Di, et al.
Published: (2025)

HMR3D: Hierarchical Multimodal Representation for 3D Scene Understanding with Large Vision-Language Model
by: Li, Chen, et al.
Published: (2025)

Populate-A-Scene: Affordance-Aware Human Video Generation
by: Shan, Mengyi, et al.
Published: (2025)

A3R: Agentic Affordance Reasoning via Cross-Dimensional Evidence in 3D Gaussian Scenes
by: Li, Di, et al.
Published: (2026)

ToLL: Topological Layout Learning with Asymmetric Cross-View Structural Distillation for 3D Scene Graph Generation Pretraining
by: Huang, Yucheng, et al.
Published: (2026)

Affordance-First Decomposition for Continual Learning in Video-Language Understanding
by: Xu, Mengzhu, et al.
Published: (2025)

HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting
by: Zhou, Hongyu, et al.
Published: (2024)

Learning 3D Scene Analogies with Neural Contextual Scene Maps
by: Kim, Junho, et al.
Published: (2025)

Agentic 3D Scene Generation with Spatially Contextualized VLMs
by: Liu, Xinhang, et al.
Published: (2025)

Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding
by: Zhou, Haoran, et al.
Published: (2025)

SceneGPT: A Language Model for 3D Scene Understanding
by: Chandhok, Shivam
Published: (2024)

DC-Scene: Data-Centric Learning for 3D Scene Understanding
by: Huang, Ting, et al.
Published: (2025)

Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting
by: Wang, Yian, et al.
Published: (2024)

VAGNet: Grounding 3D Affordance from Human-Object Interactions in Videos
by: Mao, Aihua, et al.
Published: (2026)

R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding
by: Wu, Qirui, et al.
Published: (2024)

Hierarchical Context Transformer for Multi-level Semantic Scene Understanding
by: Hao, Luoying, et al.
Published: (2025)

Articulate3D: Holistic Understanding of 3D Scenes as Universal Scene Description
by: Halacheva, Anna-Maria, et al.
Published: (2024)

3D Question Answering for City Scene Understanding
by: Sun, Penglei, et al.
Published: (2024)

Unified Semantic Transformer for 3D Scene Understanding
by: Koch, Sebastian, et al.
Published: (2025)

Affostruction: 3D Affordance Grounding with Generative Reconstruction
by: Park, Chunghyun, et al.
Published: (2026)

PointTPA: Dynamic Network Parameter Adaptation for 3D Scene Understanding
by: Liu, Siyuan, et al.
Published: (2026)

Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes
by: Qian, Yifei, et al.
Published: (2023)

CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting
by: Sun, Wei, et al.
Published: (2025)

3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds
by: Chu, Hengshuo, et al.
Published: (2025)

Affordance RAG: Hierarchical Multimodal Retrieval with Affordance-Aware Embodied Memory for Mobile Manipulation
by: Korekata, Ryosuke, et al.
Published: (2025)

POMA-3D: The Point Map Way to 3D Scene Understanding
by: Mao, Ye, et al.
Published: (2025)

Unlocking 3D Affordance Segmentation with 2D Semantic Knowledge
by: Huang, Yu, et al.
Published: (2025)

Language-Assisted 3D Scene Understanding
by: Wu, Yanmin, et al.
Published: (2023)

Training-Free Hierarchical Scene Understanding for Gaussian Splatting with Superpoint Graphs
by: Dai, Shaohui, et al.
Published: (2025)

Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection
by: Wang, Jingyao, et al.
Published: (2025)

SurgCUT3R: Surgical Scene-Aware Continuous Understanding of Temporal 3D Representation
by: Xu, Kaiyuan, et al.
Published: (2026)