Cover Image

Zooming into Comics: Region-Aware RL Improves Fine-Grained Comic Understanding in Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Yule, Ren, Yufan, Süsstrunk, Sabine
Format:	Preprint
Published:	2025
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

Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comics
by: Ryan, Yuriel, et al.
Published: (2025)

Unlocking Comics: The AI4VA Dataset for Visual Understanding
by: Grönquist, Peter, et al.
Published: (2024)

Towards Faithful Reasoning in Comics for Small MLLMs
by: Feng, Chengcheng, et al.
Published: (2026)

Predicting Winning Captions for Weekly New Yorker Comics
by: Cao, Stanley, et al.
Published: (2024)

Culture In a Frame: C$^3$B as a Comic-Based Benchmark for Multimodal Culturally Awareness
by: Song, Yuchen, et al.
Published: (2025)

Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
by: Wei, Lai, et al.
Published: (2026)

CropVLM: Learning to Zoom for Fine-Grained Vision-Language Perception
by: Carvalho, Miguel, et al.
Published: (2025)

One missing piece in Vision and Language: A Survey on Comics Understanding
by: Vivoli, Emanuele, et al.
Published: (2024)

FILA: Fine-Grained Vision Language Models
by: Zhu, Shiding, et al.
Published: (2024)

Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models
by: Thapa, Rahul, et al.
Published: (2024)

Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients
by: Xiang, Ziwei, et al.
Published: (2026)

ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
by: Yan, Siming, et al.
Published: (2024)

MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding
by: Zhu, Fengbin, et al.
Published: (2024)

GenSeg-R1: RL-Driven Vision-Language Grounding for Fine-Grained Referring Segmentation
by: Hegde, Sandesh, et al.
Published: (2026)

NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata
by: Pajouheshgar, Ehsan, et al.
Published: (2024)

Comics Datasets Framework: Mix of Comics datasets for detection benchmarking
by: Vivoli, Emanuele, et al.
Published: (2024)

Understanding the Fine-Grained Knowledge Capabilities of Vision-Language Models
by: Ghosh, Dhruba, et al.
Published: (2026)

SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding
by: Luo, Junwei, et al.
Published: (2024)

Hierarchy-Aware Fine-Tuning of Vision-Language Models
by: Li, Jiayu, et al.
Published: (2025)

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
by: Wu, Yanhao, et al.
Published: (2024)

Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection
by: Zhang, Daichi, et al.
Published: (2025)

Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models
by: Shi, Yuheng, et al.
Published: (2026)

Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding
by: Li, Chenglin, et al.
Published: (2025)

Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models
by: Jiang, Jiachen, et al.
Published: (2025)

From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific Literature
by: Yuan, Kun, et al.
Published: (2025)

In-Context Learning Improves Compositional Understanding of Vision-Language Models
by: Nulli, Matteo, et al.
Published: (2024)

MEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification with Zoom-Free Remote Sensing Imagery
by: Li, Yansheng, et al.
Published: (2025)

PyVision-RL: Forging Open Agentic Vision Models via RL
by: Zhao, Shitian, et al.
Published: (2026)

Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting
by: Zou, Shu, et al.
Published: (2025)

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
by: Lan, Long, et al.
Published: (2024)

FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding
by: Faure, Gueter Josmy, et al.
Published: (2026)

FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing
by: Ren, Yufan, et al.
Published: (2025)

VGRP-Bench: Visual Grid Reasoning Puzzle Benchmark for Large Vision-Language Models
by: Ren, Yufan, et al.
Published: (2025)

3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation
by: Lee, Seonho, et al.
Published: (2025)

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors
by: Grönquist, Peter, et al.
Published: (2023)

Fine-Grained Instruction-Guided Graph Reasoning for Vision-and-Language Navigation
by: Liu, Yaohua, et al.
Published: (2025)

Decomposed Vision-Language Alignment for Fine-Grained Open-Vocabulary Segmentation
by: Wang, Chenhao, et al.
Published: (2026)

LEGO Co-builder: Exploring Fine-Grained Vision-Language Modeling for Multimodal LEGO Assembly Assistants
by: Huang, Haochen, et al.
Published: (2025)

Leveraging Hierarchical Image-Text Misalignment for Universal Fake Image Detection
by: Zhang, Daichi, et al.
Published: (2025)

CHIRP: A Fine-Grained Benchmark for Open-Ended Response Evaluation in Vision-Language Models
by: Roger, Alexis, et al.
Published: (2025)