Changeflow GovPing Telecom & Technology Snap Inc. Image Compression Using GANs
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Snap Inc. Image Compression Using GANs

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Summary

The USPTO granted Patent US12608593B2 to Snap Inc. on April 21, 2026, covering an image compression system using generative adversarial networks (GANs). The system generates a first GAN, identifies a threshold, generates a second pruned GAN, trains it via similarity-based knowledge distillation, and stores the trained model. The patent contains 20 claims and names five inventors: Jian Ren, Oliver Woodford, Sergey Tulyakov, Jiazhuo Wang, and Qing Jin.

“Systems and methods herein describe an image compression system.”

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About this source

GovPing monitors USPTO Patent Grants - AI & Computing (G06N) for new telecom & technology regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 32 changes logged to date.

What changed

USPTO granted Patent US12608593B2 to Snap Inc. on April 21, 2026, covering an image compression system using two generative adversarial networks (GANs). The system generates a first GAN, identifies a compression threshold, prunes channels from the first GAN to produce a second, more efficient GAN, trains the second GAN using similarity-based knowledge distillation, and stores the trained model.

For technology companies and AI developers, this patent represents Snap Inc.'s intellectual property protection in GAN compression techniques. Companies developing similar image-to-image model compression methods should review this patent for potential licensing implications or to assess whether their own approaches may overlap with the 20 claims granted.

Archived snapshot

Apr 23, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Grants

Compressing image-to-image models

Grant US12608593B2 Kind: B2 Apr 21, 2026

Assignee

Snap Inc.

Inventors

Jian Ren, Oliver Woodford, Sergey Tulyakov, Jiazhuo Wang, Qing Jin

Abstract

Systems and methods herein describe an image compression system. The image compression system generates a first generative adversarial network (GAN), identifies a threshold, based on the threshold, generates a second GAN by pruning channels of the first GAN, trains the second GAN using similarity-based knowledge distillation from the first GAN, and stores the trained second GAN.

CPC Classifications

G06N 3/045 G06N 3/088

Filing Date

2021-12-21

Application No.

17558327

Claims

20

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Last updated

Classification

Agency
USPTO
Published
April 21st, 2026
Instrument
Rule
Branch
Executive
Legal weight
Binding
Stage
Final
Change scope
Minor

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Activity scope
Patent examination IP licensing
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Software & Technology

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