The “Face Model” now includes a landmark detection step before upscaling. On the vlog clip:
Quantitative: Perceptual similarity (LPIPS) improved from 0.12 to 0.08 for frontal faces but worsened from 0.21 to 0.25 for profiles.
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In the world of AI video editing, few tools have created as much buzz as HitPaw Video Enhancer. Known for transforming grainy, low-resolution footage into crisp 4K masterpieces, the software has just rolled out an update that is turning heads: Version 1710.
But is this just a minor bug fix, or a game-changer for content creators, archivists, and videographers? hitpaw video enhancer 1710 new
I spent the last week testing the new HitPaw Video Enhancer 1710 build. Here is everything you need to know about the new features, performance upgrades, and whether you should hit "download" immediately.
Author: AI Research Desk Date: April 21, 2026 Subject: Software Evaluation – Video Processing The “Face Model” now includes a landmark detection
Before we explore the "new," let's establish the baseline. HitPaw Video Enhancer is a desktop application designed to use Artificial Intelligence (AI) to increase video resolution, reduce noise, and repair artifacts. Traditionally, standard video editors use interpolation (guessing pixels) to upscale video, resulting in a "plastic" or blurry look. HitPaw uses deep learning models trained on thousands of videos to actually invent realistic detail.
The software has always been a favorite for upscaling old family footage from 480p to 1080p. However, version 1710 takes this a step further, venturing into 4K and even 8K territory with startling accuracy. Quantitative: Perceptual similarity (LPIPS) improved from 0