Beyond basic generation, VideoPoet offers powerful conditional capabilities like inpainting and outpainting. Let’s take a closer look at these techniques:
What is Video Inpainting?
Inpainting involves filling in missing or corrupted parts of video frames based on the surrounding context. It analyzes intact regions to reconstruct occluded areas seamlessly.
How it Works
VideoPoto reconstructs occluded areas seamlessly, missing frame portions guided by surrounding pixels. The model learns natural image and motion flow patterns to blend additions convincingly into the original footage.
What is Video Outpainting?
Outpainting extends video content spatially by extrapolating what occurs just beyond the frame. It produces plausible continuations inferred from visual cues.
Also Read: Introducing Google’s VideoPoet: A Revolutionary AI for Video Generation
Creative Uses
Outpainting allows for expanding tight shots more cinematically. Creators could virtually reframe compositions after filming. Combined with other effects, it enhances a video’s diegetic world in interesting ways.
In Summary
These techniques preserve creative intent while restoring or modifying source material. They expand storytelling options through AI-enabled virtual cinematography. As models advance, we’ll likely see higher resolution inpainting/outpainting to seamlessly augment professional video productions non-destructively. Overall, these capabilities further VideoPoet’s potential as an AI creative partner.