Deep dives into AI, computer vision, and the technology behind video processing and watermark removal.
Real test of watermark removal on a Google Veo AI-generated video. Frame-by-frame comparison with actual data: resolution, bitrate, and quality before/after.
A high SSIM score and a clean export are not the same thing. What PSNR, SSIM, LPIPS and FVD measure, where each misleads, and how a remover gates quality.
Mask size decides watermark removal quality: the repair-area economics of bounding boxes, pixel-precise selections, and dilation, with a 30-second check.
The real reason watermark removal flickers — and the per-frame, optical-flow, and DiT mechanics behind stable results, with a 60-second self-check.
The 2026 video inpainting landscape, from ProPainter's optical flow to one-step diffusion — and what each model generation means for your watermark removal.
How watermark detection models work: CNN detection, SAM 2 mask generation, temporal tracking for moving marks, and the invisible-watermark research frontier.
AI inpainting vs cropping vs blurring compared on the same TikTok frame. Technical metrics show which method actually works for video watermark removal.
Real test of Instagram Reels watermark removal at 5 timestamps. See why cropping destroys 9:16 content and AI inpainting preserves every pixel of the 720×1280 frame.
Real test: UnMark AI removes TikTok's bouncing watermark across 5 timestamps. Frame-by-frame analysis with 576×1024, 30fps, H.264 preserved.
SynthID vs C2PA: how UnMark removes visible watermarks while preserving invisible provenance signals. Why that matters for AI video transparency in 2026.
Watch UnMark remove a Google Veo watermark in real time: 92-second unedited recording, 48-second AI processing, before-after results.
