1 citations · 1 across the 2 of their papers we have counts for
4 papers
Evaluating the Evaluators: Diagnosing Large Multimodal Models for AI-Generated Image Assessment
Yu Zhao, Jiarui Wang, Huiyu Duan +5
With the rapid advancement of text-to-image (T2I) generation, robust evaluation becomes critical yet challenging, as traditional metrics fail to capture fine-grained alignment and…
DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models
Jiarui Wang, Huiyu Duan, Juntong Wang +8
With the rapid advancement of generative models, the realism of AI-generated images has significantly improved, posing critical challenges for verifying digital content authenticit…
LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation
Jiarui Wang, Huiyu Duan, Ziheng Jia +8
Recent advancements in large multimodal models (LMMs) have driven substantial progress in both text-to-video (T2V) generation and video-to-text (V2T) interpretation tasks. However,…
LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs
Jiarui Wang, Huiyu Duan, Yu Zhao +3
Recent breakthroughs in large multimodal models (LMMs) have significantly advanced both text-to-image (T2I) generation and image-to-text (I2T) interpretation. However, many generat…