16 OCTOBER – 5 NOVEMBER 2024 | GALLERY 

GOTTFRIED JÄGER AND HEIN GRAVENHORST: GENERATIVE PHOTOGRAPHY REVISITED

EXPANDED.ART is proud to present the duo exhibition GENERATIVE PHOTOGRAPHY REVISITED. FROM LIGHT TO CODE by Gottfried Jäger and Hein Gravenhorst, in collaboration with Photo Edition Berlin. 

Gottfried Jäger (*1937) is considered one of the most important photographers and photo theorists of the post-war period. Alongside Otto Steinert (Essen) and Bernd & Hilla Becher (Düsseldorf), Jäger has influenced generations of photographers with his non-objective photography and his teaching at FH Bielefeld. As early as the 1960s, he developed the concept of Generative Photography.

Hein Gravenhorst (*1937) is a co-founder of generative photography, a genre of photography that aims to generate logically comprehensible aesthetic structures based on defined programs. This genre is related to Max Bense's generative aesthetic, which provides principles for generating specific operations methodically.

GOTTFRIED JÄGER AND HEIN GRAVENHORST: GENERATIVE PHOTOGRAPHY REVISITED. FROM LIGHT TO CODE


16 OCTOBER – 5 NOVEMBER 2024
OPENING RECEPTION: 16 OCTOBER 2024 | 6-9 PM CET


Friedrichstraße 67, 10117 Berlin
Tuesday - Saturday: 2-6 PM CET

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EXHIBITION

GOTTFRIED JÄGER

HEIN GRAVENHORST

ARTISTS

Since the early 1960s, Gottfried Jäger has been working in the field of "abstract" photography. He regards the photographic process not only as a medium for conveying external conditions but as an artistic object in its own right.
With this approach, he is the forerunner of a new generation of photographic artists such as James Welling, Walid Beshty, Liz Deschenes, Marco Breuer, and others. In over fifty years of visual practice, his name has become one of the best known in German photographic art. Presented in collaboration with <a href="https://www.photoeditionberlin.com/">Photo Edition Berlin</a>.

GOTTFRIED JÄGER | GENERATIVE PHOTOGRAPHY

Hein Gravenhorst (*1937) is a co-founder of generative photography, a genre of photography that aims to generate logically comprehensible aesthetic structures based on defined programs. This genre is related to Max Bense's generative aesthetic, which provides principles for generating specific operations methodically.
<meta charset="utf-8">Presented in collaboration with <a href="https://www.photoeditionberlin.com/">Photo Edition Berlin</a>.

HEIN GRAVENHORST | GENERATIVE PHOTOGRAPHY

NFT DROP: 18 OCTOBER 2024 | 6 PM CET  Hein Gravenhorst begins working on his computer-generated images with one or two base models, which are then developed further in various ways. One approach is through translation, where the base models are expanded horizontally or mirrored. Another method involves rotation, transforming the base models into circular patterns. In some works, he combines both techniques, utilizing both translation and rotation.
These computer-generated images are now being released as NFTs and represent a genuine continuation of his artistic output since the analog masterpieces. In collaboration with Photo Edition Berlin.

HEIN GRAVENHORST | Translation and Rotation: ver A-1 x

Gunther Dietrich is the founder of Photo Edition Berlin, which opened in 2008. One of the gallery's first exhibitions showcased works by Gottfried Jäger, the founder of "Generative Photography." The name Photo Edition Berlin has been programmatic from the beginning: "Photography" means "drawn with light," and "Edition" emphasizes photography as the reproduction medium par excellence. On the occasion of the exhibition by Gottfried Jäger and Hein Gravenhorst, presented jointly by Photo Edition Berlin and EXPANDED.ART, Anika Meier and Gunther Dietrich discuss the beginnings of Photo Edition Berlin, the history of generative photography, and how Jäger and Gravenhorst have shaped the history of photography, as well as how NFTs are changing the digital art market.

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GOTTFRIED JÄGER AND HEIN GRAVENHORST | GALLERY

16 OCTOBER – 5 NOVEMBER 2024 | GALLERY

GOTTFRIED JÄGER AND HEIN GRAVENHORST: GENERATIVE PHOTOGRAPHY REVISITED

ARTISTS

ART

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