From Pixels to Perception: A Beginner’s Guide to Video Generation
With the fast-paced advancements in the field of image generation with models like DALL-E, MidJourney, etc and the introduction of vision language models, the field of video generation is exciting as ever.
In this guide on video generation series, here is a sneak peak of the topics we will cover:
Understanding Video Generation: Core Concepts and Methodologies
We'll explore techniques like:
Frame Interpolation: Imagine creating smooth, in-between frames to seamlessly transition between existing images, effectively increasing video frame rates.
Motion Prediction: Learn how models predict how objects and scenes will move in subsequent frames. By analyzing existing video data, motion prediction models can anticipate future movements, allowing for the creation of entirely new video content.
Diffusion models: Unlike traditional approaches that build images or videos from scratch, diffusion models take the opposite approach. Diffusion models are trained by gradually removing the noise and refining the details until a clean, high-quality video emerges. This "denoising" process allows the model to learn the underlying structure and patterns of videos, enabling it to generate realistic and creative outputs later.
And much more!
Popular Video Generation Models
We will discuss popular video generation models available today:
Text-to-Video Generation Models: OpenAI’s Sora, Google’s Lumiere, Meta’s Make-A-Video, etc.
Image-to-Video Generation Models: AnimateAnyone, AutomoVideo, Stable Video Diffusion, etc
The explainer of some of these models will also be added!
Guide to Implementing Video Generation Models
Gain practical insights into implementing video generation models, from data preprocessing and model training to inference and evaluation. Explore real-world use cases across industries, from entertainment and advertising to education and healthcare, showcasing the transformative potential of video generation technology.
If you’re as excited as I am, hit that subscribe button to stay tuned for upcoming technical deep-dives! 😎🔬