Building upon the success of latent diffusion models in image synthesis, Stability AI introduces Stable Video Diffusion, a model designed to handle high-resolution, state-of-the-art text-to-video and image-to-video generation.
The training methodology involves three stages: text-to-image pretraining, video pretraining, and high-quality video finetuning. A significant emphasis is placed on curating a well-structured pretraining dataset, incorporating strategies like captioning and filtering to enhance the model's learning process.
Stable Video Diffusion demonstrates versatility by adapting to various downstream tasks, including image-to-video generation and camera motion-specific modules. Notably, it provides a robust multi-view 3D prior, enabling the generation of multiple object views efficiently, outperforming traditional image-based methods with reduced computational requirements.
