![]() ![]() This article does not address the relative merits of training one’s own model versus using already-available products. It is also possible to train your own AI models at home if you have a sufficiently powerful GPU and a training data set, but that’s a separate topic from the question of whether any currently available paid or free AI products are worth using. My goal is to help you answer these questions and give you a feel for what’s possible, no matter what your project is. If you like what you see, keep reading.īased on what I’ve heard from readers, there’s a lot of confusion about when AI upscaling is useful, how much improvement can be achieved, and whether paid products like AVCLabs Video Enhancer, DVDFab Video Enhancer AI, or Topaz Video Enhance AI are worth the money. The question I get most often is "Can AI upscaling improve a video?" Here's one of my answers to that. There is some Star Trek footage here, but it's only one type of content among many. This article is also a guide to maximizing your output quality while avoiding some of the pitfalls that can wreck your video. I have tested multiple AI upscaling applications, both paid and free, using everything from old VHS-equivalent footage to native 720p HD content. The native Blu-ray is on the left, upscaled DVD on the right. It's one of the topics we'll be discussing today. I know that last is an eyebrow-raising claim. In some scenarios, a properly processed, upscaled DVD can rival or even surpass an official studio Blu-ray release. Instead of focusing on Star Trek, this article is a comprehensive overview of what AI upscaling software does well, where it falls short, and how to improve your final upscale quality. I’ve written about those efforts on multiple occasions, but today’s story is a bit different, and it casts a much broader net. Hope this reply from DxO’s support team answers, or at least gives some clarity to previous questions asked by forum members.For the last 2.5 years, I’ve worked to restore Star Trek: Deep Space Nine and more recently, Star Trek: Voyager. Thank you for contacting DxO Customer Support. By following the above workflow, you will find that you can rely on PhotoLab to always deliver the best results possible. The other post-production programs you mentioned do not contain any of the advanced production code contained in PhotoLab. ORIGINAL CAMERA FILE > DXO PHOTOLAB > ALL OTHER POST-PRODUCTION PROGRAMS > FINAL PHOTO RESULT The resulting code is so precise, that the use of processed files in the program can cause unexpected and unsupported results. All of the modules used in PhotoLab are constructed using extremely precise measurements of actual output files from specific camera and lens configurations. ![]() In order to get the best, and most consistent, results from DxO PhotoLab, we recommend that you always use the original and unmodified photo files from your camera in the program and then use all other post-production programs. Below is DxO support’s explanation and their recommendation. From what I have read on this forum, other users are experiencing similar problems. Received a reply today () from support to my question about DxO PhotoLab 4’s perceived compatibility issue with TopazLabs Sharpen AI (current version), with regards to. ![]()
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