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20232026
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cs.CV2026

READ More than What You See: Reinforcement Learning for Accurate and Coherent Audio Description Generations

Bo Fang, Xinyao Zhang, Yuxin Song +3

Audio Description aims to generate concise narrations of essential visual content in audio-visual media for blind and low-vision audiences. Existing methods either rely on promptin…

cs.CV2026

CogRail: Benchmarking VLMs in Cognitive Intrusion Perception for Intelligent Railway Transportation Systems

Yonglin Tian, Qiyao Zhang, Wei Xu +9

Accurate and early perception of potential intrusion targets is essential for ensuring the safety of railway transportation systems. However, most existing systems focus narrowly o…

cs.CV2025

DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design

Xiwei Hu, Haokun Chen, Zhongqi Qi +4

We present DreamPoster, a Text-to-Image generation framework that intelligently synthesizes high-quality posters from user-provided images and text prompts while maintaining conten…

cs.CV2025

CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation

Dexiang Hong, Zhao Zhang, Weidong Chen +5

Graphic design plays a crucial role in both commercial and personal contexts, yet creating high-quality, editable, and aesthetically pleasing graphic compositions remains a time-co…

cs.CV2025

ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation

Zhen Li, Duan Li, Yukai Guo +9

Infographic charts are a powerful medium for communicating abstract data by combining visual elements (e.g., charts, images) with textual information. However, their visual and str…