Retroiva AI isn't a simple filter. It is a sequential chain of five specialized GANs running on A100 GPU clusters to reconstruct video data at the pixel level.
Removes artifacts from H.264/H.265.
Spatial/Temporal grain removal.
400% Resolution synthesis.
AI Frame generation (RIFE).
Smart bitrate optimization.
Video compression algorithms (like H.264) save space by grouping pixels into "macroblocks." This destroys fine detail. Retroiva AI analyzes these artifacts and mathematically reverses the compression damage before any upscaling begins.
Unlike standard denoisers that blur the image, our neural network looks at pixels across time (multiple frames). It identifies static noise patterns from the camera sensor and removes them while keeping the moving subject sharp.
Using a custom ESRGAN architecture, we "hallucinate" missing texture details—skin pores, fabric weaves, foliage—based on context. This allows us to scale 480p or 720p content to native 4K with sharpness that traditional bicubic upscaling cannot achieve.
Convert standard 24fps or 30fps footage into fluid 60fps or 120fps video. We utilize advanced Optical Flow estimation (RIFE models) to generate intermediate frames that never existed in the source file.
This is distinct from "soap opera effect" smoothing; our AI understands object boundaries to prevent warping artifacts during fast motion.
A 4K file can be massive. Our final step uses content-aware encoding to reduce file size by up to 50% without visible quality loss. We optimize the bitrate based on the complexity of each scene (VBR).
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