Introduction
LAPGAN generates image detail at multiple scales using a Laplacian pyramid. It is an important attempt at higher-resolution synthesis before Progressive GAN. The work illustrates a continuing problem in image generation: how to extend quality through the coordinated construction of images across layers or scales.
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Emily Denton; Soumith Chintala; Arthur Szlam; Rob Fergus · original paper · Image rights remain with their respective holders; no open licence is asserted
Source · LAPGAN ↗RESEARCH ACCOUNT
Generating from coarse structure to detail
ANTI-AI ARCHIVE · Revised 2026-10-02
Method and contribution
LAPGAN combines a Laplacian pyramid with convolutional generators, training adversarial models at successive scales. Images develop from coarse structure towards finer detail. The authors report examples and evaluations using datasets including CIFAR-10 and LSUN. Multiscale organisation, rather than size alone, is central to the method.
Section sources: LAPGAN
Art-historical interpretation
Editorial interpretation: staged refinement provides a comparison for later generative workflows. It raises questions about how early structure constrains subsequent detail and whether measures of photographic resemblance say anything about composition or expression. Technical evaluation should not silently become aesthetic judgement.
Section sources: LAPGAN
Sources for this account
Author or conference abstract and version record read; full proofs and experiments were not independently reproduced.
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Continue with a comparative question
Compare the methods, forms of control or presentation contexts of this entry and StackGAN: Text to Photo-realistic Image Synthesis with Stacked GANs.
Compare the methods, forms of control or presentation contexts of this entry and Progressive Growing of GANs.
Dates & version record
Date displayed for this node: 2015 · Historical date recorded for the source: 2015
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Original sources & further reading
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Provenance, translation & verification
Timeline entry #082 · Historical node
Research materials & supplement references · 1
AI Art Genealogy Research Master · p. 16 · 047
Date as recorded: 2015
LAPGAN ↗
LAPGAN
Archive account based on the listed research materials, not a full translation of the linked work. AI-assisted translation; independent human review pending.
The master’s research claims and dates await independent verification.
Cite this node
ANTI-AI ARCHIVE. LAPGAN. Art-history node #082. https://salondesrefuses.cn/en/art-history/047
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