Video Generation with Consistency Tuning

TL;DR

A novel framework composed of four modules: separate tuning module, average fusion module, combined tuning module, and inter-frame consistency module is proposed in order to generate videos without jitter and noise.

Abstract

Currently, various studies have been exploring generation of long videos. However, the generated frames in these videos often exhibit jitter and noise. Therefore, in order to generate the videos without these noise, we propose a novel framework composed of four modules: separate tuning module, average fusion module, combined tuning module, and inter-frame consistency module. By applying our newly proposed modules subsequently, the consistency of the background and foreground in each video frames is optimized. Besides, the experimental results demonstrate that videos generated by our method exhibit a high quality in comparison of the state-of-the-art methods.

Figures (3)

• Figure 1: A high level overview of the proposed video generation approach.
• Figure 2: The flow diagram of the proposed average fusion method.
• Figure 3: Comparison of frames between the state-of-the-art and our proposed framework.