Starlight Point

AI Reconstruction Tech

The master-painter AI engine

A suite of specialized neural networks, each trained on centuries of classical artwork and conservation practice, working in concert to reconstruct what time has taken.

Trained on the masters. Trusted with your memories.

Every Starlight Point model is trained on curated datasets of classical paintings, archival photography, and conservation case studies spanning four centuries. The result is an engine that doesn’t just repair images — it understands the intent, materials, and techniques behind them.

Like the swirling skies of a certain post-impressionist master, our networks see structure in chaos: they find the logic of a brushstroke, the weave of a canvas, and the chemistry of a fading print — then rebuild each with reverence.

See It On Your Artwork
A neural network visualized as a swirling starry night sky of luminous nodes

Core Technologies

Six engines. One restoration.

Neural Style Transfer

Our engine learns an artist’s stroke grammar — rhythm, pressure, direction, and glazing habit — then applies it to reconstruct missing passages so seamlessly that even conservators struggle to find the seam.

Style fingerprinting Stroke synthesis Era-aware models

Pigment Texture Reconstruction

Impasto peaks, canvas weave, and aged craquelure are rebuilt in three dimensions of detail, so restored regions carry the same physical character as the untouched original surface.

Impasto modeling Canvas weave match Micro-texture synthesis

Crack & Crease Removal Algorithms

Damage-mapping networks detect cracks, creases, tears, and fold lines at sub-pixel level, then intelligently weave the underlying image back together using evidence from surrounding intact regions.

Sub-pixel detection Context-aware fill Tear & hole repair

Non-Destructive Digital Restoration

The original scan is never modified. Every intervention lives on its own reversible layer with a full audit trail — your heirloom’s digital twin stays pristine, exactly as ethics of conservation demand.

Reversible layers Audit trail Original preserved

High-Resolution AI Upscaling

Detail-hallucination-free super-resolution grows small scans and low-quality prints up to 8× their size, resolving genuine brushstroke and grain detail for gallery-grade printing.

Up to 8× enlargement Print-ready 600 DPI Detail fidelity control

Period-Accurate Colorization

Color models trained on dated archives infer historically correct hues for clothing, interiors, and landscapes — turning monochrome memories into living, breathing color.

Era palettes Skin-tone fidelity Material awareness

The Pipeline

From scan to masterwork

01

Ingest & Analyze

High-fidelity scan intake, damage mapping, and a full condition report generated in minutes.

02

Neural Reconstruction

The master-painter engine rebuilds lost detail, texture, and color layer by layer.

03

Human Review

Senior digital conservators audit every intervention against the original at 100% zoom.

04

Archive & Deliver

Reversible master files, print-ready exports, and a permanent restoration record handed to you.