Google llc (20240338936). GENERATING VIDEOS USING DIFFUSION MODELS simplified abstract
Contents
GENERATING VIDEOS USING DIFFUSION MODELS
Organization Name
Inventor(s)
Jonathan Ho of New York NY (US)
Alexey Alexeevich Gritsenko of Amsterdam (NL)
Mohammad Norouzi of Richmond Hill (CA)
David James Fleet of Toronto (CA)
GENERATING VIDEOS USING DIFFUSION MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338936 titled 'GENERATING VIDEOS USING DIFFUSION MODELS
The patent application describes methods, systems, and apparatus for generating an output video conditioned on an input.
- Receiving the input and initializing a current intermediate representation.
- Generating an output video by updating the current intermediate representation at each iteration.
- Processing an intermediate input using a diffusion model to generate a noise output.
- Updating the current intermediate representation using the noise output for the iteration.
Potential Applications: - Video editing software - Virtual reality applications - Augmented reality technology
Problems Solved: - Enhancing video quality - Real-time video processing - Noise reduction in videos
Benefits: - Improved video processing speed - Enhanced visual effects - Higher quality output videos
Commercial Applications: Title: Advanced Video Processing Technology for Enhanced Visual Effects This technology can be used in the film industry for special effects, in video game development for realistic graphics, and in virtual reality applications for immersive experiences.
Prior Art: Researchers can explore prior art related to video processing techniques, noise reduction algorithms, and diffusion models in video editing software.
Frequently Updated Research: Researchers are constantly exploring new algorithms and models to improve video processing techniques and enhance visual effects.
Questions about Video Processing Technology: 1. How does this technology compare to existing video processing methods? This technology offers real-time processing capabilities and enhanced visual effects compared to traditional methods.
2. What are the potential limitations of this video processing technology? The technology may require high computational power and memory resources for processing complex videos.
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an output video conditioned on an input. in one aspect, a method comprises receiving the input; initializing a current intermediate representation; generating an output video by updating the current intermediate representation at each of a plurality of iterations, wherein the updating comprises, at each iteration: processing an intermediate input for the iteration comprising the current intermediate representation using a diffusion model that is configured to process the intermediate input to generate a noise output; and updating the current intermediate representation using the noise output for the iteration.
