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cs.CV2025
DINO-Detect: A Simple yet Effective Framework for Blur-Robust AI-Generated Image Detection
Jialiang Shen, Jiyang Zheng, Yunqi Xue +8
With growing concerns over image authenticity and digital safety, the field of AI-generated image (AIGI) detection has progressed rapidly. Yet, most AIGI detectors still struggle u…
cs.CV2025
Beyond Optimal Transport: Model-Aligned Coupling for Flow Matching
Yexiong Lin, Yu Yao, Tongliang Liu
Flow Matching (FM) is an effective framework for training a model to learn a vector field that transports samples from a source distribution to a target distribution. To train the…
cs.CV2024
Ranked from Within: Ranking Large Multimodal Models Without Labels
Weijie Tu, Weijian Deng, Dylan Campbell +4
Can the relative performance of a pre-trained large multimodal model (LMM) be predicted without access to labels? As LMMs proliferate, it becomes increasingly important to develop…