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cs.CV2024
VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment
Shangkun Sun, Xiaoyu Liang, Songlin Fan +2
Text-driven video editing has recently experienced rapid development. Despite this, evaluating edited videos remains a considerable challenge. Current metrics tend to fail to align…
cs.CV2024★ 2 cited
Exploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution Gap
Bowen Qu, Xiaoyu Liang, Shangkun Sun +1
The recent advancements in Text-to-Video Artificial Intelligence Generated Content (AIGC) have been remarkable. Compared with traditional videos, the assessment of AIGC videos enco…
cs.CV2024
Bringing Textual Prompt to AI-Generated Image Quality Assessment
Bowen Qu, Haohui Li, Wei Gao
AI-Generated Images (AGIs) have inherent multimodal nature. Unlike traditional image quality assessment (IQA) on natural scenarios, AGIs quality assessment (AGIQA) takes the corres…