Disclosure: I work on Collart AI. This article shares some product and engineering lessons from building our AI video cleanup workflow: Video Watermark Remover
Removing something from a video sounds simple until you try to make the result look stable.
For a still image, an object-removal model only has to reconstruct one frame. For video, the model has to solve a harder problem: every repaired frame needs to make sense next to the frames before and after it.
That is where many “looks good in one frame” results break down.
You might remove a watermark, logo, or text overlay successfully in frame 72, but by frame 73 the patched area shifts slightly. By frame 74 the texture changes again. At normal playback speed, those small differences become flicker.
