Does this lower the resolution?

No. In fact, by stabilizing the pixels, the human eye perceives the video as *sharper* because it isn't distracted by micro-jitter.

Temporal Smoothing: Fixing AI Jitter and Edge Crawl

The Battle for Stability

The tell-tale sign of "cheap" AI video is flickering and edge-crawl. As models evolve, consistency is the new battleground. Temporal smoothing is the process of using the previous and future frames as a baseline for the current one, ensuring a professional, stable image.

Key Features

Frame-to-Frame Latent Lock: Enforce a mathematical check between consecutive frames to ensure every pixel evolution is physically logical.
Optical Flow Refinement: Use motion vectors to re-route pixels that are "crawling" incorrectly, forcing them back into a stable path.
Luminance Stabilization: Eliminate the "pulsing" light artifacts often seen in early generative AI models.

How It Works

Identify the Noise: Zoom into an area of the video that is flickering or jittering.
Apply Smooth-Lock: Trigger the temporal consistency pass on the selected clip.
Export the Polish: Download a video that looks like it was captured on film, with zero digital noise.