The industry-standard Neural Depth Engine for transforming 2D imagery into immersive spatial content.
Immersity AI, the evolved successor to LeiaPix Converter, represents the pinnacle of Neural Depth Estimation (NDE) in 2026. Built upon Leia Inc.'s proprietary Lightfield technology, the platform utilizes advanced convolutional neural networks to analyze monocular 2D images and videos, generating high-fidelity depth maps and multi-view sequences. By 2026, the tool has shifted from a simple social media gimmick to a mission-critical utility for the spatial computing ecosystem, including Apple Vision Pro and Meta Quest 4 workflows. Its architecture leverages temporal consistency algorithms to ensure that video-to-3D conversions remain stable without the 'warping' artifacts common in earlier AI models. The platform provides a seamless bridge between traditional media and volumetric displays, offering granular control over motion paths, focal planes, and edge refinement. As a leader in the 'Spatial AI' category, Immersity AI serves both independent creators via its web interface and enterprise developers through a robust, low-latency API designed for high-throughput batch processing of digital assets for e-commerce and virtual real estate.
A manual override tool allowing users to paint depth directly onto the AI-generated map to fix occlusions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
An algorithm that ensures depth maps across video frames are mathematically aligned to prevent flickering.
Native export to Leia Image Format (LIF), which embeds depth data directly into image metadata.
Specific optimization for Apple's HEVC-based spatial video format.
RESTful API endpoints for parallel processing of thousands of images.
AI-driven filling of pixels revealed 'behind' objects during 3D movement.
Bezier-curve based control over the virtual camera's movement in 3D space.
Standard 2D product photos lack the engagement needed for high-end retail.
Registry Updated:2/7/2026
Historical archives are trapped in 2D and cannot be experienced natively on AR/VR headsets.
Capturing 3D video usually requires expensive Matterport hardware.