Google Arts & Culture Lab recolours Klimt's destroyed paintings

ML color reconstruction of Klimt's destroyed Faculty Paintings launched 7 October 2021 with the Belvedere, shown in its 2025 exhibition

11ⓘ

AI system

System

The Klimt Color Enigma colourisation model (Google Arts & Culture Lab)

Model

Not assessed

Release

Not assessed

Application developer

Google (Emil Wallner)

Role

Not assessed

Configuration

Not assessed

Inputs and outputs

Not assessed

Autonomy

Not assessed

Workflow

Surviving black-and-white photographs of the destroyed paintings. A colorization model pre-trained on 91,749 artworks and fine-tuned on Klimt's color paintings. Curator-compiled written color testimony injected as fixed colors.

Human oversight

Not assessed

Relation to AI

The model proposed colors for the monochrome photographs. Known colors from Smola's archival research were added directly, so the output mixes documented evidence with learned statistical guesses. The Belvedere calls it an attempt at reconstruction, and no source claims the colors are verified.

AI contribution

The model proposed colors for the monochrome photographs. Known colors from Smola's archival research were added directly, so the output mixes documented evidence with learned statistical guesses. The Belvedere calls it an attempt at reconstruction, and no source claims the colors are verified.

Benefits

Outcome identifiers

Not assessed

Benefit

ML color reconstruction of Klimt's destroyed Faculty Paintings launched 7 October 2021 with the Belvedere, shown in its 2025 exhibition

Category

Increased Creativity

Status

Not assessed

Beneficiary groups

Organizations. Society.

Beneficiaries

Not assessed

Reach

Not assessed

Distribution and access

Not assessed

Duration

Not assessed

Expected?

Yes

Costs and harms

Not assessed

Measurement

Studies

Not assessed

Study design

Not assessed

Measurement

Not assessed

Setting and sample

Not assessed

Measures

Not assessed

Comparison

Assumed alternative: the surviving black-and-white photographs of the destroyed paintings

Results

Assumed comparison. Reference: have only survived in grainy black-and-white photographs, devoid of the sumptuous, aurous pigment on which the painter's name was made. Result: a digital reconstruction of his Faculty works — in full and glorious color.

Additional value from AI

Not assessed

Limitations

Not assessed

Denominators

Not assessed

Materials for replication

Not assessed

Money

Kind of value

Not assessed

Amount

Not assessed

Currency and prices

Not assessed

Period and unit

Not assessed

Realization

Not assessed

Recipients and payers

Not assessed

Gross or net

Not assessed

Included costs

Not assessed

Comparison

Not assessed

Method

Not assessed

Return and payback

Not assessed

People and places

Participants

Developer: Google (Emil Wallner). Operator: Belvedere, Vienna, with Google Arts & Culture.

Jurisdictions

Benefit: Vienna, Austria. Developer: France. Operator: Austria.

Ownership and control

Not assessed

Dependencies

Not assessed

Cross-border connections

Not assessed

Geopolitical implications

Not assessed

Follow-up

Conditions for replication

Monochrome photographs of adequate quality exist. Written color descriptions exist for key areas. An institutional partner validates and displays the result.

Replication attempts

1 follow-up entries. Benefit recurred: 1.

Later findings

Not assessed

Availability

Not assessed

Institutional decision

Not assessed

Grounds

Not assessed

Action and result

Not assessed

Success criterion

Not assessed

Evidence

Source numbers

AIBD-0074-source-0001–0004

Citations

Numbered references below.

Language

Not assessed

Source relationships

Operator, Independent, Developer

Original evidence

Not assessed

Access and versions

Not assessed

Supported findings

Not assessed

Evidence strength

Not assessed

Missing evidence

Not assessed

Grades

Assessed benefits

Organizations. Society.

Depth

Organizations: 1. Society: 1.

Reasons

Organizations: Small: the Belvedere adopted and exhibited the reconstructions in 2025, per its exhibition page. Society: Small: the public can view a color hypothesis of lost works; Smola himself called the result surprising where no color knowledge existed (Jing Daily).

Observed or intended

Not assessed

Rubric

Not assessed

Assessor and date

Not assessed

Alternative assessments

Not assessed

Fill

Independently reported

Entry details

Kind

Not assessed

Field

Art. Museums and art history.

Purpose

Colorize black-and-white photographs of destroyed paintings in the artist's style, guided by archival color descriptions

Dates

Date basis unassessed: 2021 (precision unassessed). Updated: 22 October 2026.

Stage

Not assessed

Version

SHA-256: 96c3a11a391b…

References

Other identifiers

AI Incident Database: 554.

Category mappings

Not assessed

Brief

Not assessed

Revisions

8 revisions. Latest: 22 October 2026.

Sources

  1. News report Independent author

    Chen, M. (2021). Google Arts & Culture And Belvedere Museum Trained An AI To Color Like Klimt. Jing Daily Culture, 7 October 2021.

  2. News report Independent author

    I Programmer (2022). Google AI Recreates Lost Klimt Artworks. i-programmer.info.

  3. Press release Deployer

    Belvedere (2025). Gustav Klimt – Pigment & Pixel, exhibition page, 20 February – 7 September 2025. belvedere.at.

  4. Press release Developer

    Google Arts & Culture (2021). The Klimt Color Enigma. artsandculture.google.com.