1 citations · 2 across the 4 of their papers we have counts for
5 papers
TIT-Score: Evaluating Long-Prompt Based Text-to-Image Alignment via Text-to-Image-to-Text Consistency
Juntong Wang, Huiyu Duan, Jiarui Wang +3
With the rapid advancement of large multimodal models (LMMs), recent text-to-image (T2I) models can generate high-quality images and demonstrate great alignment to short prompts. H…
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…
TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs
Juntong Wang, Jiarui Wang, Huiyu Duan +2
Text-driven video editing is rapidly advancing, yet its rigorous evaluation remains challenging due to the absence of dedicated video quality assessment (VQA) models capable of dis…
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…