ANTI-AI ARCHIVE
ART-HISTORY NODE / 081 · 2014

Conditional Generative Adversarial Nets

Conditional Generative Adversarial Nets

Mehdi Mirza; Simon Osindero

Introduction

Conditional GANs supply additional information to both generator and discriminator, offering a general framework for controlled generation. Class-conditioned synthesis, text-to-image GANs and forms of structurally conditioned generation build on this approach. The node concerns the development of conditions that guide what a model generates.

ORIGINAL DOCUMENT#081
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Mehdi Mirza; Simon Osindero · original paper · Image rights remain with their respective holders; no open licence is asserted

Source · Conditional Generative Adversarial Nets ↗

RESEARCH ACCOUNT

Conditioning what a generator produces

ANTI-AI ARCHIVE · Revised 2026-10-02

Method and contribution

Conditional GANs supply additional information to both generator and discriminator. The paper demonstrates label-conditioned MNIST digits and preliminary image-tagging applications. It establishes a way of directing generation with conditions, rather than already providing the capabilities of later open-ended text-to-image systems.

Section sources: Conditional Generative Adversarial Nets

Art-historical interpretation

Editorial interpretation: available control depends on how a condition is represented during training. A category, sentence, pose or reference image provides a different kind of direction. Their shared ability to guide generation does not make the resulting creative control equivalent.

Section sources: Conditional Generative Adversarial Nets

Sources for this account

Conditional Generative Adversarial Nets ↗

Author or conference abstract and version record read; full proofs and experiments were not independently reproduced.

This account expands the archive within the cited scope. Historical interpretation is not presented as the original author’s statement or as a proven causal influence. The account and translation are AI-assisted, pending independent human review. Section references identify evidence without claiming independent verification of every historical statement.

Continue with a comparative question

pix2pix ↗

Compare the methods, forms of control or presentation contexts of this entry and pix2pix.

StackGAN: Text to Photo-realistic Image Synthesis with Stacked GANs ↗

Compare the methods, forms of control or presentation contexts of this entry and StackGAN: Text to Photo-realistic Image Synthesis with Stacked GANs.

Dates & version record

Date displayed for this node: 2014 · Historical date recorded for the source: 2014

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Original sources & further reading

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Conditional Generative Adversarial Nets ↗

Conditional Generative Adversarial Nets

https://arxiv.org/abs/1411.1784

Current cited URL

Provenance, translation & verification

Timeline entry #081 · Historical node

Research materials & supplement references · 1

AI Art Genealogy Research Master · p. 15 · 046
Date as recorded: 2014
Conditional Generative Adversarial Nets ↗
Conditional Generative Adversarial Nets

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Cite this node

ANTI-AI ARCHIVE. Conditional Generative Adversarial Nets. Art-history node #081. https://salondesrefuses.cn/en/art-history/046

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