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VBench++ is a comprehensive video generation model evaluation benchmark jointly created by Nanyang Technological University and the Shanghai Artificial Intelligence Laboratory. The benchmark comprises 16 dimensions, each with about 100 text prompts, to assess the performance of video generation models. It covers aspects such as video quality and conditional consistency, aiming to reveal model strengths and weaknesses through fine‑grained evaluation. The research team designed multi‑level evaluation dimensions and validated the results with human‑preference annotations to ensure alignment with human perception. VBench++ addresses key challenges in video‑generation evaluation, including technical quality assessment and model trustworthiness assessment.
