VG-Refiner: Towards Tool-Refined Referring Grounded Reasoning via Agentic Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yuji, Liu, Wenlong, Niu, Jingxuan, Zhang, Haoji, Tang, Yansong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning
by: Bai, Sule, et al.
Published: (2025)
by: Bai, Sule, et al.
Published: (2025)
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis
by: Wang, Yuji, et al.
Published: (2025)
by: Wang, Yuji, et al.
Published: (2025)
Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning
by: Zhang, Haoji, et al.
Published: (2025)
by: Zhang, Haoji, et al.
Published: (2025)
Thinking With Bounding Boxes: Enhancing Spatio-Temporal Video Grounding via Reinforcement Fine-Tuning
by: Gu, Xin, et al.
Published: (2025)
by: Gu, Xin, et al.
Published: (2025)
Language-free Compositional Action Generation via Decoupling Refinement
by: Liu, Xiao, et al.
Published: (2023)
by: Liu, Xiao, et al.
Published: (2023)
VG-CoT: Towards Trustworthy Visual Reasoning via Grounded Chain-of-Thought
by: Lim, Byeonggeuk, et al.
Published: (2026)
by: Lim, Byeonggeuk, et al.
Published: (2026)
Ponder & Press: Advancing Visual GUI Agent towards General Computer Control
by: Wang, Yiqin, et al.
Published: (2024)
by: Wang, Yiqin, et al.
Published: (2024)
Embed-RL: Reinforcement Learning for Reasoning-Driven Multimodal Embeddings
by: Jiang, Haonan, et al.
Published: (2026)
by: Jiang, Haonan, et al.
Published: (2026)
Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment
by: Song, Yizhi, et al.
Published: (2024)
by: Song, Yizhi, et al.
Published: (2024)
DDAVS: Disentangled Audio Semantics and Delayed Bidirectional Alignment for Audio-Visual Segmentation
by: Tian, Jingqi, et al.
Published: (2025)
by: Tian, Jingqi, et al.
Published: (2025)
OmniRefiner: Reinforcement-Guided Local Diffusion Refinement
by: Liu, Yaoli, et al.
Published: (2025)
by: Liu, Yaoli, et al.
Published: (2025)
IVR-R1: Refining Trajectories through Iterative Visual-Grounded Reasoning in Reinforcement Learning
by: Li, Chenghao, et al.
Published: (2026)
by: Li, Chenghao, et al.
Published: (2026)
$R^2$-Mesh: Reinforcement Learning Powered Mesh Reconstruction via Geometry and Appearance Refinement
by: Wang, Haoyang, et al.
Published: (2024)
by: Wang, Haoyang, et al.
Published: (2024)
ProVG: Progressive Visual Grounding via Language Decoupling for Remote Sensing Imagery
by: Li, Ke, et al.
Published: (2026)
by: Li, Ke, et al.
Published: (2026)
Towards Interactive Image Inpainting via Sketch Refinement
by: Liu, Chang, et al.
Published: (2023)
by: Liu, Chang, et al.
Published: (2023)
EditRefiner: A Human-Aligned Agentic Framework for Image Editing Refinement
by: Xu, Zitong, et al.
Published: (2026)
by: Xu, Zitong, et al.
Published: (2026)
Flash-VStream: Efficient Real-Time Understanding for Long Video Streams
by: Zhang, Haoji, et al.
Published: (2025)
by: Zhang, Haoji, et al.
Published: (2025)
PathVG: A New Benchmark and Dataset for Pathology Visual Grounding
by: Zhong, Chunlin, et al.
Published: (2025)
by: Zhong, Chunlin, et al.
Published: (2025)
Sketch and Refine: Towards Fast and Accurate Lane Detection
by: Chen, Chao, et al.
Published: (2024)
by: Chen, Chao, et al.
Published: (2024)
Improving Visual Reasoning with Iterative Evidence Refinement
by: Shi, Zeru, et al.
Published: (2026)
by: Shi, Zeru, et al.
Published: (2026)
LLM4VG: Large Language Models Evaluation for Video Grounding
by: Feng, Wei, et al.
Published: (2023)
by: Feng, Wei, et al.
Published: (2023)
TimeRefine: Temporal Grounding with Time Refining Video LLM
by: Wang, Xizi, et al.
Published: (2024)
by: Wang, Xizi, et al.
Published: (2024)
SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding
by: Kang, Weitai, et al.
Published: (2024)
by: Kang, Weitai, et al.
Published: (2024)
Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning
by: Zhang, Ziyi, et al.
Published: (2025)
by: Zhang, Ziyi, et al.
Published: (2025)
GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models
by: Zheng, Shurong, et al.
Published: (2026)
by: Zheng, Shurong, et al.
Published: (2026)
SwimVG: Step-wise Multimodal Fusion and Adaption for Visual Grounding
by: Shi, Liangtao, et al.
Published: (2025)
by: Shi, Liangtao, et al.
Published: (2025)
AerialVG: A Challenging Benchmark for Aerial Visual Grounding by Exploring Positional Relations
by: Liu, Junli, et al.
Published: (2025)
by: Liu, Junli, et al.
Published: (2025)
Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
by: Lu, Meng, et al.
Published: (2025)
by: Lu, Meng, et al.
Published: (2025)
HiVG: Hierarchical Multimodal Fine-grained Modulation for Visual Grounding
by: Xiao, Linhui, et al.
Published: (2024)
by: Xiao, Linhui, et al.
Published: (2024)
Hierarchical Memory for Long Video QA
by: Wang, Yiqin, et al.
Published: (2024)
by: Wang, Yiqin, et al.
Published: (2024)
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams
by: Zhang, Haoji, et al.
Published: (2024)
by: Zhang, Haoji, et al.
Published: (2024)
CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual Grounding
by: Xiao, Linhui, et al.
Published: (2023)
by: Xiao, Linhui, et al.
Published: (2023)
UniVG: Towards UNIfied-modal Video Generation
by: Ruan, Ludan, et al.
Published: (2024)
by: Ruan, Ludan, et al.
Published: (2024)
Fully Aligned Network for Referring Image Segmentation
by: Liu, Yong, et al.
Published: (2024)
by: Liu, Yong, et al.
Published: (2024)
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
by: Jiang, Dongfu, et al.
Published: (2025)
by: Jiang, Dongfu, et al.
Published: (2025)
Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning
by: Zhang, Bob, et al.
Published: (2025)
by: Zhang, Bob, et al.
Published: (2025)
Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learning
by: Cao, Meng, et al.
Published: (2025)
by: Cao, Meng, et al.
Published: (2025)
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement
by: Peng, Yansong, et al.
Published: (2024)
by: Peng, Yansong, et al.
Published: (2024)
Refinement via Regeneration: Enlarging Modification Space Boosts Image Refinement in Unified Multimodal Models
by: Guo, Jiayi, et al.
Published: (2026)
by: Guo, Jiayi, et al.
Published: (2026)
Self-Calibrated CLIP for Training-Free Open-Vocabulary Segmentation
by: Bai, Sule, et al.
Published: (2024)
by: Bai, Sule, et al.
Published: (2024)
Similar Items
-
UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning
by: Bai, Sule, et al.
Published: (2025) -
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis
by: Wang, Yuji, et al.
Published: (2025) -
Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning
by: Zhang, Haoji, et al.
Published: (2025) -
Thinking With Bounding Boxes: Enhancing Spatio-Temporal Video Grounding via Reinforcement Fine-Tuning
by: Gu, Xin, et al.
Published: (2025) -
Language-free Compositional Action Generation via Decoupling Refinement
by: Liu, Xiao, et al.
Published: (2023)