https://github.com/3dlg-hcvc/M3DRef-CLIP
공식 코드Multi3DRefer: Grounding Text Description to Multiple 3D Objects
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Multi3DRefer: Grounding Text Description to Multiple 3D Objects
Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans
MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension
Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding
RefMask3D: Language-Guided Transformer for 3D Referring Segmentation
ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance
A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions
ScanERU: Interactive 3D Visual Grounding based on Embodied Reference Understanding
SeCG: Semantic-Enhanced 3D Visual Grounding via Cross-modal Graph Attention
Evolving Symbolic 3D Visual Grounder with Weakly Supervised Reflection
MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
Learning Point-Language Hierarchical Alignment for 3D Visual Grounding
Multi-branch Collaborative Learning Network for 3D Visual Grounding
LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
Solving Zero-Shot 3D Visual Grounding as Constraint Satisfaction Problems
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving
ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.