The Long-Lost Pieces of Rembrandt’s Night Watch Get Reconstructed with Artificial Intelligence




Most of us know Rembrandt’s masterpiece by the name The Night Watch, but it has a longer original title: Militia Company of District II under the Command of Captain Frans Banninck Cocq. By the same token, the version of the painting we’ve all seen — whatever we happen to call it — is smaller than the one Rembrandt originally painted in 1642. “In 1715, the monumental canvas was cut down on all four sides to fit onto a wall between two doors in Amsterdam’s Town Hall,” writes The New York Times‘ Nina Siegal. “The snipped pieces were lost. Since the 19th century, the trimmed painting has been housed in the Rijksmuseum, where it is displayed as the museum’s centerpiece, at the focal point of its Gallery of Honor.”

In recent years, the Rijksmuseum has honored The Night Watch further with a thoroughgoing restoration called Operation Night Watch. This ambitious undertaking has so far produced attractions like the largest and most detailed photograph of the painting ever taken, zoom-in-able to the individual brushstroke.




That phase required high imaging technology, to be sure, but it may appear downright conventional compared to the just-unveiled recreation of the work’s three-centuries-missing pieces, which will hang on all four sides of the original at the Rijksmuseum for the next three months. This making-whole wouldn’t have been possible without a small copy made in the 17th century — or the latest artificial-intelligence technology of the 21st.

Image courtesy of the Rijksmuseum

“Rather than hiring a painter to reconstruct the missing pieces, the museum’s senior scientist, Robert Erdmann, trained a computer to recreate them pixel by pixel in Rembrandt’s style,” writes Siegal. Erdmann used “a relatively new technology known as convolutional neural networks, a class of artificial-intelligence algorithms designed to help computers make sense of images.” The process, explained in more detail by Shanti Escalante-De Mattei at ARTNews, involved digitally “splitting up the painting into thousands of tiles and placing matching tiles from both the original and the copy side-by-side,” training multiple neural networks to complete the painting in a style as close as possible to Rembrandt’s rather than the copyist’s. The result, with a few new faces as well as a startlingly different compositional feel than the Night Watch we’ve all seen, would no doubt please Captain Banninck Cocq and his militiamen: this, after all, is the portrait they paid for.

You can watch videos on this Rijksmuseum page showing how the classic painting was restored.

Related Content:

What Makes The Night Watch Rembrandt’s Masterpiece

The Restoration of Rembrandt’s The Night Watch Begins: Watch the Painstaking Process On-Site and Online

The Largest & Most Detailed Photograph of Rembrandt’s The Night Watch Is Now Online: Zoom In & See Every Brush Stroke

All the Rembrandts: The Rijksmuseum Puts All 400 Rembrandts It Owns on Display for the First Time

Watch an Art Conservator Bring Classic Paintings Back to Life in Intriguingly Narrated Videos

AI & X-Rays Recover Lost Artworks Underneath Paintings by Picasso & Modigliani

Based in Seoul, Colin Marshall writes and broadcasts on cities, language, and culture. His projects include the Substack newsletter Books on Cities, the book The Stateless City: a Walk through 21st-Century Los Angeles and the video series The City in Cinema. Follow him on Twitter at @colinmarshall or on Facebook.


by | Permalink | Comments (0) |

Support Open Culture

We’re hoping to rely on our loyal readers rather than erratic ads. To support Open Culture’s mission, please consider making a donation. We accept Paypal, Venmo, Patreon, even Crypto! To donate, click here. We thank you!






Leave a Reply

Quantcast
Open Culture was founded by Dan Colman.