Consistent Video

Consistent video generation aims to create realistic and temporally coherent video sequences, addressing challenges like smooth transitions between segments and maintaining visual integrity across long durations. Current research heavily utilizes diffusion models, often incorporating transformer architectures (like Diffusion Transformers) and leveraging techniques such as temporal attention mechanisms and causal generation to improve long-term consistency. This area is crucial for advancing video editing, generation, and understanding applications, impacting fields ranging from autonomous driving to high-quality video streaming and content creation. The focus is on developing methods that produce high-fidelity, controllable videos, even under challenging conditions, while improving efficiency and reducing computational costs.