Portrait Background Removal AI uses Mask AI to remove the background on your portrait photos automatically.Composition AI crops and straightens your image to offer you the best possible framing.Relight AI tool remaps your image, recreating a 3D space to spread the light naturally and change the light of the original photo.Portrait Bokeh AI defocuses the background of your portraits to create a bokeh effect.Augmented Sky inserts objects such as birds or the moon, matching them to the scene.

AI Sky not only replaces the sky for you, but it also creates the corresponding reflections and relights the scene to match the new sky.It detects up to nine elements – sky, water, natural ground, artificial ground, mountains, buildings, vehicles, people, and plants. Mask AI allows you to easily select specific parts of the image to make selective adjustments.In Luminar Neo, you’ll find an amazing array of tools that will enhance your photos in no time with spectacular results. We’ve also redesigned the app’s Preferences window layout to be easier to navigate and have made error messages more helpful by providing possible solutions to consider.Luminar’s strongest suit has always been AI photo editing. Making image sequence imports and exports more reliable.Fixing issues preventing a user from logging into the app.Resolving instances where the UI wouldn’t load consistently.Some of the more notable benefits involve: We’ve implemented many bug fixes and optimizations to make Topaz Video AI run more smoothly across a wider range of hardware. We also improved support of h.265 encoders for NVIDIA GTX GPUs. Mac users will now experience improved quality when exporting videos using h.264, h.265, and h.265 Main 10 encoders, and we added support for the AV1 encoder on Intel ARC GPUs. With Topaz Video AI v3.0.7, the AI models will receive the input media in the same color space that they were trained on, thereby increasing video quality. Our AI models perform best when the input video frames or image sequences are similar to the media used for training in terms of content, artifacts, color space (e.g. We’ve updated how some of our models work, which improves export video quality.

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