Inpaint
Professional-grade object removal and photo restoration powered by advanced content-aware synthesis.
Pro-grade food photography enhancement powered by 3D depth mapping and generative AI.
Luminar Neo, the technological successor to the Macphun Creative Kit, represents the 2026 benchmark for AI-driven food photography. Its architecture transitions from traditional layer-based editing to a modular, AI-centric engine that utilizes neural networks for semantic segmentation. For food photographers, the platform provides specialized neural filters that can distinguish between organic textures (ingredients) and non-organic surfaces (plates and cutlery). The 2026 iteration features advanced Generative AI capabilities including GenErase and GenSwap, allowing creators to digitally 're-plate' or replace backgrounds with high-fidelity textures. The engine's core advantage lies in its 3D depth-mapping technology, Relight AI, which allows for post-capture lighting adjustments that respect the physical geometry of the dish, a critical requirement for high-end culinary marketing and menu design. Positioned as a non-destructive RAW editor, it integrates seamlessly into professional workflows as both a standalone application and a high-performance plugin for Adobe and Apple ecosystems, prioritizing speed and automated consistency across high-volume batches.
Uses 3D depth mapping to identify foreground and background, allowing independent exposure control.
Professional-grade object removal and photo restoration powered by advanced content-aware synthesis.
Professional-grade 4K image resolution enhancement powered by Generative AI super-resolution models.
Enterprise-grade image segmentation for instant high-precision visual asset isolation.
Professional AI-native photo editing with generative AI workflows for semantic image enhancement.
Verified feedback from the global deployment network.
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Generative fill-based object removal that replaces deleted areas with contextually accurate textures.
Enhances micro-contrast only where necessary, avoiding halos on plate edges.
Advanced color grading toolset including Color Contrast and Brilliance sliders.
While primarily for portraits, these neural networks handle human subjects in lifestyle food shots.
Deep learning denoising that recovers details in underexposed restaurant shots.
Semantic segmentation for outdoor food photography to replace dull backgrounds.
Ensuring all menu items have consistent lighting despite being shot at different times.
Registry Updated:2/7/2026
Quickly removing messy crumbs or distracting background diners.
Enhancing the texture and 'freshness' look of raw produce.