Cover Image

Integrating Multimodal Large Language Model Knowledge into Amodal Completion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yun, Heecheol, Yang, Eunho
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
by: Jung, Yeonsung, et al.
Published: (2024)

Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens
by: Kim, Sohee, et al.
Published: (2025)

Contact-Aware Amodal Completion for Human-Object Interaction via Multi-Regional Inpainting
by: Chi, Seunggeun, et al.
Published: (2025)

Occlusion-Aware Temporally Consistent Amodal Completion for 3D Human-Object Interaction Reconstruction
by: Doh, Hyungjun, et al.
Published: (2025)

Extreme Amodal Face Detection
by: Song, Changlin, et al.
Published: (2025)

Amodal Optical Flow
by: Luz, Maximilian, et al.
Published: (2023)

TAO-Amodal: A Benchmark for Tracking Any Object Amodally
by: Hsieh, Cheng-Yen, et al.
Published: (2023)

Can GPT tell us why these images are synthesized? Empowering Multimodal Large Language Models for Forensics
by: He, Yiran, et al.
Published: (2025)

Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)

RelaxFlow: Text-Driven Amodal 3D Generation
by: Zhu, Jiayin, et al.
Published: (2026)

Pixel-Grounded Retrieval for Knowledgeable Large Multimodal Models
by: Kim, Jeonghwan, et al.
Published: (2026)

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain
by: Yoon, Hangyul, et al.
Published: (2024)

Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models
by: Kwon, JuneHyoung, et al.
Published: (2026)

On the Out-Of-Distribution Generalization of Multimodal Large Language Models
by: Zhang, Xingxuan, et al.
Published: (2024)

Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models
by: Chen, Zhawnen, et al.
Published: (2024)

Large Language Model-Driven Distributed Integrated Multimodal Sensing and Semantic Communications
by: Peng, Yubo, et al.
Published: (2025)

Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
by: Yang, Yuncheng, et al.
Published: (2024)

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
by: Jang, Doohyuk, et al.
Published: (2024)

GI-Bench: A Panoramic Benchmark Revealing the Knowledge-Experience Dissociation of Multimodal Large Language Models in Gastrointestinal Endoscopy Against Clinical Standards
by: Zhu, Yan, et al.
Published: (2026)

Model Composition for Multimodal Large Language Models
by: Chen, Chi, et al.
Published: (2024)

Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal Reasoning
by: Pang, Yuqi, et al.
Published: (2025)

LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models
by: Tian, Shi-Yu, et al.
Published: (2026)

Toward Cognitive Supersensing in Multimodal Large Language Model
by: Li, Boyi, et al.
Published: (2026)

Efficient Multimodal Large Language Models: A Survey
by: Jin, Yizhang, et al.
Published: (2024)

Speculative Decoding Reimagined for Multimodal Large Language Models
by: Lin, Luxi, et al.
Published: (2025)

Contextual Object Detection with Multimodal Large Language Models
by: Zang, Yuhang, et al.
Published: (2023)

Progress by Pieces: Test-Time Scaling for Autoregressive Image Generation
by: Park, Joonhyung, et al.
Published: (2025)

Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders
by: Wang, Yizhou, et al.
Published: (2025)

Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine
by: Huang, Xiaoshuang, et al.
Published: (2024)

Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward
by: Zhang, Ruohong, et al.
Published: (2024)

Automatic Channel Pruning for Multi-Head Attention
by: Lee, Eunho, et al.
Published: (2024)

Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models
by: Zhang, Yue, et al.
Published: (2024)

Adversarial Prompt Injection Attack on Multimodal Large Language Models
by: Ding, Meiwen, et al.
Published: (2026)

Temporal Grounding of Activities using Multimodal Large Language Models
by: Song, Young Chol
Published: (2024)

Demystifying the Visual Quality Paradox in Multimodal Large Language Models
by: Xing, Shuo, et al.
Published: (2025)

Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models
by: Zeng, Zhen, et al.
Published: (2024)

Innovator-VL: A Multimodal Large Language Model for Scientific Discovery
by: Wen, Zichen, et al.
Published: (2026)

Delineating Knowledge Boundaries for Honest Large Vision-Language Models
by: Song, Junru, et al.
Published: (2026)

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models
by: Yao, Xincheng, et al.
Published: (2026)

Knowledge Completes the Vision: A Multimodal Entity-aware Retrieval-Augmented Generation Framework for News Image Captioning
by: You, Xiaoxing, et al.
Published: (2025)