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From the 1 of 21 linked papers with an AI index.

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20242026
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21 papers

cs.CV2026

VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation

Songyu Xu, Xin Wang, Qiang Chen +6

The paper introduces VGIF-Score, an automated and interpretable framework that evaluates how well video generation models follow long, compositional instructions by parsing prompts…

cs.CV2026

MMBench-Live: A Continuously Evolving Benchmark for Multimodal Models

Yuanzhi Liu, Shousheng Zhao, Bo Zhou +2

Evaluation benchmarks are essential for assessing vision-language models (VLMs), but most multimodal benchmarks are static, making them vulnerable to temporal staleness, data conta…

cs.CV2026

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation

Baoteng Li, Xianghao Zang, Xinran Wang +8

Text-to-Image (T2I) generation has achieved remarkable progress in recent years. Meanwhile, reinforcement learning methods, particularly those based on Group Relative Policy Optimi…

cs.AI2026

DataEvolver: Let Your Data Build and Improve Itself via Goal-Driven Loop Agents

Qisong Zhang, Wenzhuo Wu, Zhuangzhuang Jia +7

Constructing controllable visual data is a major bottleneck for image editing and multimodal understanding. Useful supervision is rarely produced by a single rendering pass; instea…

cs.CV2026

DetailVerifyBench: A Benchmark for Dense Hallucination Localization in Long Image Captions

Xinran Wang, Yuxuan Zhang, Xiao Zhang +7

Accurately detecting and localizing hallucinations is a critical task for ensuring high reliability of image captions. In the era of Multimodal Large Language Models (MLLMs), capti…

cs.CV2026

Toward Generalizable Forgery Detection and Reasoning

Yueying Gao, Dongliang Chang, Bingyao Yu +5

Accurate and interpretable detection of AI-generated images is essential for mitigating risks associated with AI misuse. However, the substantial domain gap among generative models…