1 citations · 1 across the 4 of their papers we have counts for
5 papers
IE-Critic-R1: Advancing the Explanatory Measurement of Text-Driven Image Editing for Human Perception Alignment
Bowen Qu, Shangkun Sun, Xiaoyu Liang +1
Recent advances in text-driven image editing have been significant, yet the task of accurately evaluating these edited images continues to pose a considerable challenge. Different…
Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow
Ruyang Liu, Shangkun Sun, Haoran Tang +2
Long-form video understanding has always been a challenging problem due to the significant redundancy in both temporal and spatial contents. This challenge is further exacerbated b…
VideoGen-Eval: Agent-based System for Video Generation Evaluation
Yuhang Yang, Ke Fan, Shangkun Sun +7
The rapid advancement of video generation has rendered existing evaluation systems inadequate for assessing state-of-the-art models, primarily due to simple prompts that cannot sho…
Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency
Shangkun Sun, Xiaoyu Liang, Bowen Qu +1
The advent of next-generation video generation models like \textit{Sora} poses challenges for AI-generated content (AIGC) video quality assessment (VQA). These models substantially…
IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment
Shangkun Sun, Bowen Qu, Xiaoyu Liang +2
Recent advances in text-driven image editing have been significant, yet the task of accurately evaluating these edited images continues to pose a considerable challenge. Different…