Inpaint
Professional-grade object removal and photo restoration powered by advanced content-aware synthesis.
Professional AI-native photo editing with generative AI workflows for semantic image enhancement.
Originally founded as Macphun Technology, Skylum transitioned into a market leader in AI-based digital photography by 2026 with its flagship platform, Luminar Neo. The technical architecture revolves around a proprietary modular engine that utilizes neural networks for semantic segmentation—allowing the software to distinguish between sky, water, human subjects, and foreground elements with pixel-level precision. In 2026, Skylum has integrated advanced Generative AI capabilities, including GenErase, GenSwap, and GenExpand, which leverage diffusion models optimized for local hardware acceleration (M-series Silicon and NVIDIA RTX). Positioned as the primary alternative to Adobe's ecosystem, Skylum focuses on removing the steep learning curve of traditional masking and retouching. Its infrastructure supports high-bit-depth RAW processing and complex layer-based editing while offloading compute-heavy generative tasks to a hybrid cloud-local model. The software is widely used by professional photographers for its specific 'AI-assist' features that automate mundane tasks like power-line removal, skin blemish reduction, and relighting scenes based on 3D depth maps generated from 2D images.
Uses generative diffusion to extend image boundaries based on contextual visual data.
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-grade AI bracket merging and tone mapping based on the legacy Macphun Quantum HDR Engine.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Automated sky replacement with 3D depth-aware water reflection mapping.
Contrast enhancement that ignores human skin to avoid 'over-processed' looks.
Creates a 3D depth map from 2D images to adjust lighting based on distance from the lens.
Segmented retouching for eyes, lips, and body contours using anatomical landmarks.
Deep learning-based denoising specifically trained on low-light RAW sensor data.
Text-prompt guided object replacement using localized latent diffusion.
Removing intrusive power lines and construction debris from property shots.
Registry Updated:2/7/2026
Consistently relighting products shot in varying conditions.
Reducing skin imperfections and enhancing eyes across 100+ photos.