Motion Customization

Motion customization in video generation focuses on adapting pre-trained models to produce videos with specific, user-defined movements, going beyond the capabilities of standard text-to-video models. Current research emphasizes disentangling appearance and motion information within video diffusion models, often employing techniques like low-rank adaptation (LoRA) on temporal attention layers or novel loss functions to achieve this separation. This area is significant because it enables more precise control over video content, impacting fields such as animation, film production, and robotics by allowing for the creation of highly customized and realistic video sequences.