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cs.CV2026

Towards Characterizing Scientific Image Utility and Upgradability

WenZhe Li, Qihang Yan, Liang Chen +6

Scientific images function as critical evidence in research communication, yet their integrity faces unprecedented threats from AI-generated content that introduces subtle but cons…

cs.CV2026

GeoR-Bench: Evaluating Geoscience Visual Reasoning

Yushuo Zheng, Zicheng Zhang, Huiyu Duan +7

Geoscience intelligence is expected to understand, reason about, and predict earth system changes to support human decision-making in critical domains such as disaster response, cl…

cs.CV2026

Q-REAL: Towards Realism and Plausibility Evaluation for AI-Generated Content

Shushi Wang, Zicheng Zhang, Chunyi Li +7

Quality assessment of AI-generated content is crucial for evaluating model capability and guiding model optimization. However, most existing quality assessment datasets and models…

cs.CV2026

SIQA: Toward Reliable Scientific Image Quality Assessment

Wenzhe Li, Liang Chen, Junying Wang +6

Scientific images fundamentally differ from natural and AI-generated images in that they encode structured domain knowledge rather than merely depict visual scenes. Assessing their…

cs.CV2025

Embodied Image Compression

Chunyi Li, Rui Qing, Jianbo Zhang +6

Image Compression for Machines (ICM) has emerged as a pivotal research direction in the field of visual data compression. However, with the rapid evolution of machine intelligence,…

cs.CV2025

Using GUI Agent for Electronic Design Automation

Chunyi Li, Longfei Li, Zicheng Zhang +4

Graphical User Interface (GUI) agents adopt an end-to-end paradigm that maps a screenshot to an action sequence, thereby automating repetitive tasks in virtual environments. Howeve…