SOURCE-LINKED INTELLIGENCE
VOR-Bench: A Human Perception-Driven Benchmark for Video Object Removal
Despite its crucial role in video object removal (VOR), existing evaluation paradigms face two critical limitations: questionable references and a misalignment between tradi- tional metrics and human preference. To address these challenges, we introduce VOR- Bench, which advances VOR evaluation through three integrated components. First, we present the VOR Dataset (VORD), the first benchmark dataset providing both paired edited videos and graffiti masks. Its unique strength lies in a diverse data spectrum, which encompasses model-generated, tool-rendered, and camera-captured data, ensuring rob
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T09:08:00.000Z
First collected: 2026-09-20T08:40:59.508Z. This is not the publication date.