Technical Report: Competition Solution For Modelscope-Sora
This is an incremental solution for participants in a specific video generation competition, focusing on data processing to enhance model performance.
The report tackled the Modelscope-Sora challenge by fine-tuning data for video generation models using techniques like video description generation and filtering, resulting in improved performance for text-to-video tasks under computational constraints.
This report presents the approach adopted in the Modelscope-Sora challenge, which focuses on fine-tuning data for video generation models. The challenge evaluates participants' ability to analyze, clean, and generate high-quality datasets for video-based text-to-video tasks under specific computational constraints. The provided methodology involves data processing techniques such as video description generation, filtering, and acceleration. This report outlines the procedures and tools utilized to enhance the quality of training data, ensuring improved performance in text-to-video generation models.