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View article: VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment
VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment Open
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 with human perceptions, and effective quantitative metrics…
View article: Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency
Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency Open
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 mitigate flickering artifacts prevalent in prior models, e…
View article: IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment
IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Open
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 from the assessment of text-driven image generation, text-d…
View article: VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment
VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment Open
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 with human perceptions, and effective quantitative metrics…
View article: Exploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution Gap
Exploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution Gap Open
The recent advancements in Text-to-Video Artificial Intelligence Generated Content (AIGC) have been remarkable. Compared with traditional videos, the assessment of AIGC videos encounters various challenges: visual inconsistency that defy c…