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Major upgrade to the Luminar’s popular Accent AI filter features content-aware object and facial recognition.
With this update, we’ve connected a new neural network that recognizes certain objects better. We trained it on more objects and added a new “person” class that didn’t exist before. The results are truly mind-blowing, allowing us to apply settings more selectively, resulting in a more realistic image.
Accent AI is also a part of many of our Looks, and with this updates, our Looks will see a boost as well. This means better results with the same images — especially if there are people in them.
Finally, Accent AI features more careful color corrections, making for more accuracy and quality. It also works better with the hidden details of an image. If Accent AI 2.0 can’t make the object look better, it won’t be touched.
We understand that not everyone wants to learn and spend time diving into tutorials on how certain adjustments work. Our goal with Accent AI is simple — to create beautiful photographs with just one slider. With the help of Accent AI, a photographer can take an average photo and truly turn it into something magical.
Accent AI 2.0 is our approach to the future of photo editing. We’ll continue to add additional features that build on this concept and analyze images for even more areas to improve with AI-powered image enhancements. Our goal is to completely replace the classic photo editing methods with the help of new AI technologies that will not only be smarter, but also give significantly better results. We want to make learning of how to edit images an unnecessary thing due to the intuitive AI filters.
With these continued updates to Luminar 3, we hope to continue helping you take your images to the next level!
The upcoming update of Luminar 3 will be free for all current users, for more details on what's coming, check out the Luminar Roadmap at https://skylum.com/luminar/roadmap.
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Check out the "Meet the next-generation Accent AI filter” at Skylum Blog for more details https://bit.ly/2UJCzA7
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