Luma AI
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The company has created a photorealistic 3D capture software aimed at delivering 3D images on smartphones. This platform employs a neural capture and rendering system to turn everyday smartphone photos into photorealistic 3D captures, serving sectors like e-commerce, real estate, and the 3D gaming industry. It allows users to engage with photos and videos within a mixed-reality 3D environment.
Similar neural networks:
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Looking to determine a suitable prompt for generating new images similar to an existing one? The CLIP Interrogator is available to provide you with solutions!
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Segment Anything AI (Meta) provides the Segment Anything Model (SAM), an AI tool capable of isolating any object within any image. SAM is promptable and exhibits zero-shot generalization to novel images and objects, utilizing a range of input prompts that allow seamless integration with other AI systems. It can also be trained to label images and enhance its dataset. The SAM model is crafted to be efficient and adaptable, optimizing its data engine's performance. Contributors to the project include Alexander Kirillov, Eric Mintun, Nikhila Ravi, among others. The code is accessible on GitHub, and users can subscribe to their newsletter for updates on their latest research advancements.
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The Qlone app transforms photos taken on iPhones or iPads into enhanced 3D models for augmented reality by using the Object Capture API on macOS Monterey. It employs photogrammetry and enables scanning through the Qlone app or the processing of images from folders or ZIP archives.