Oxia Palus

Oxia Palus

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Oxia Palus uses spectroscopic imaging, artificial intelligence, and 3D printing to uncover and recreate lost artworks hidden beneath famous paintings.

About

Oxia Palus sits at the intersection of art history, scientific imaging, and artificial intelligence. The studio's core process begins with high-resolution spectroscopic imaging — scanning known paintings layer by layer to reveal buried compositions invisible to the naked eye. AI models then interpret and reconstruct those hidden images, filling in colour, texture, and detail informed by the artist's known style and technique. The resulting digital reconstructions are finally rendered as physical artworks through precision 3D printing, producing tangible pieces that can be exhibited and studied. Their flagship NeoMasters series has already surfaced previously unknown works attributed to Vincent van Gogh (including a self-portrait and a wrestling scene) and a portrait by Amedeo Modigliani of the poet Beatrice Hastings. With potentially thousands of paintings concealing dormant compositions beneath them, Oxia Palus positions its pipeline as an ongoing mission to reshape art history. The studio offers research and commercial services to museums, collectors, auction houses, and cultural institutions seeking to analyse their collections. It has been featured by BBC Culture, presented at Vivatech, and shown at international art fairs. Oxia Palus is ideal for heritage organisations, art historians, collectors, and anyone passionate about unlocking art's hidden past.

Key Features

  • Spectroscopic Imaging Analysis: Non-invasive, multi-layer scanning of existing paintings to reveal hidden compositions buried beneath the surface.
  • AI-Driven Artwork Reconstruction: Machine learning models interpret spectral data and reconstruct lost images with faithful colour, texture, and stylistic coherence.
  • 3D-Printed Physical Reproductions: Reconstructed artworks are rendered as high-fidelity physical pieces via precision 3D printing, suitable for exhibition and collection.
  • NeoMasters Collection: A curated series of newly surfaced works attributed to masters such as Van Gogh and Modigliani, exhibited at leading international venues.
  • Institutional Research Services: Custom scanning and analysis services offered to museums, auction houses, and private collectors to investigate their own holdings.

Use Cases

  • Museums and galleries scanning permanent collection paintings to discover and exhibit previously unknown underdrawings or lost compositions.
  • Auction houses and art appraisers using spectroscopic analysis to verify attribution and uncover additional historical context for high-value works.
  • Art historians and academics researching an artist's creative process through the study of revised, abandoned, or hidden compositional layers.
  • Cultural heritage organisations archiving digital reconstructions of damaged or overpainting-obscured artworks for scholarly preservation.
  • Collectors seeking unique, exhibition-quality 3D-printed recreations of historically significant hidden masterpieces for private display.

Pros

  • Pioneering Technology Stack: The combination of spectroscopic imaging, AI, and 3D printing is unique in the art world and opens entirely new avenues for art historical research.
  • Globally Recognised & Exhibited: Works have been shown at the Carrousel du Louvre, SOMPO Museum of Art Tokyo, and VivaTech, and covered by BBC Culture, lending strong institutional credibility.
  • Non-Destructive Process: The imaging and analysis pipeline does not damage original artworks, making it safe for use on irreplaceable cultural heritage objects.

Cons

  • Premium Pricing for Services: As a specialist B2B and institutional service, access to Oxia Palus's analysis pipeline is likely costly and not accessible to individuals or small organisations.
  • Limited Public Transparency on Methodology: Detailed technical documentation of the AI models and reconstruction process is not publicly available, making independent verification of attribution claims difficult.
  • Dependent on Source Material Quality: Reconstruction quality is constrained by the resolution and preservation state of the underlying spectroscopic scans, which can vary significantly between paintings.

Frequently Asked Questions

What is spectroscopic imaging and how does Oxia Palus use it?

Spectroscopic imaging captures reflected light across multiple wavelengths beyond the visible spectrum, revealing layers of paint invisible to the human eye. Oxia Palus uses this data to detect and map hidden compositions lying beneath the surface of existing paintings.

How does the AI reconstruct a hidden painting?

The AI analyses spectral layer data alongside contextual knowledge of the attributed artist's style, palette, and technique. It then synthesises a coherent image from the fragmented information, filling in gaps with statistically plausible detail consistent with the artist's known body of work.

Are the reconstructed artworks considered authentic works by the original artist?

Oxia Palus presents its reconstructions as evidence-based recreations of underlying compositions, not forgeries or certified originals. Attribution claims are informed by the spectroscopic evidence and stylistic analysis but would require further scholarly and provenance review.

Can museums or collectors commission Oxia Palus to scan their own works?

Yes. Oxia Palus offers research and analysis services to institutions and private collectors. Enquiries can be directed to [email protected].

Where have Oxia Palus works been exhibited?

The studio has exhibited at the Carrousel du Louvre (Paris), SOMPO Museum of Art (Tokyo), Vivatech, and the deeep AI Art Fair, among other international venues.

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