Jul 1, 2024 · In this study, we propose an effective evaluation protocol, termed DEVIL, which centers on the dynamics dimension to evaluate T2V models.

Jul 1, 2024 · In this study, we propose an effective evaluation protocol, termed DEVIL, which centers on the dynamics dimension to evaluate T2V models.

Comprehensive and constructive evaluation protocols play an important role when developing sophisticated text-to-video (T2V) generation models.

Poster evaluation of text-to-video generation models: A Dynamics Perspective. Mingxiang Liao, hannan lu, Qixiang Ye, Wangmeng Zuo, Fang Wan, Tianyu Wang, ...

Jul 1, 2024 · Dynamics are an essential dimension for measuring the visual vividness and the honesty of video content to text prompts. In this study, we ...

Jul 1, 2024 · This paper presents a dynamics-based evaluation approach for text-to-video generation models, which aims to assess the temporal consistency and ...

For this purpose, we establish a new benchmark comprising text prompts that fully reflect multiple dynamics grades, and define a set of dynamics scores ...

Within this repository, we collect works that aim to answer some critical questions in the field of evaluating visual generation, such as: Model Evaluation: ...

Aug 6, 2024 · This article presents a rigorous approach to assessing the strengths and limitations of Runway ML (Gen-3), Luma Labs, and Pika using human preference ratings.

Nov 5, 2024 · Authors investigate sensitivity of CLIP text encoder to motion descriptions and propose to condition the model on content and motion separately.