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AdobePatent grant

Adobe was granted a patent for more targeted AI image generation.

What happened

In September 2026 Adobe patented prompt-guided image-generation technology for creative workflows, helping tailor generated visuals to specific elements described by a user.

Source

patents.google.comSep 29, 2026

US patent US12749232

Localized attention-guided sampling for image generation

Abstract

A method, apparatus, non-transitory computer readable medium, and system for image generation include obtaining an input prompt. A customized residual is added to a base parameter of an image generation model based on an element of the input prompt to obtain an updated parameter. The customized residual is determined based on the element of the input prompt. A synthesized image is generated using the image generation model with the updated parameter. The synthesized image depicts the element based on the input prompt.

patents.google.com/patent/US12749232Read the full source

Extracted by Autobound

From the Signal API record
Signal
Patent grant

What this signalsA new patent often shows where a company is putting its R&D budget.

Grant date
Sep 29, 2026
Inventors
4
Tech area
image processing / graphics
Patent number
US12749232

The full record

From the Signal API record

People

  • Cusuh HamInventor
  • Matthew David FisherInventor
  • Nicholas Isaac KolkinInventor
  • Yuchen LiuInventor
  • Richard ZhangInventor
  • Tobias HinzInventor

Details

Primary CPC class
G06T 11/60 (Image data processing or generation, in general)
USPTO assignee
ADOBE INC.
What the invention does
A method that adjusts an image model with a prompt-specific correction so the generated picture pays closer attention to the requested subject or detail.

Topics and mentions

Tags

  • Intellectual Property
  • Research & Development
  • Artificial Intelligence
  • Design & Graphics
  • Product Development

Technologies named

  • generative AI
  • image generation
  • computer vision
  • image processing

Extraction

Detected
Sep 30, 2026
signal_type
patents-company
signal_subtype
patentGrant

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The API returns more than this page shows

This page shows a preview. The full patents-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/04d77e20-3912-5f01-bb38-d51d05501e29 returns this record as JSON. POST /v1/companies/enrich returns every signal for adobe.com.

{
  "signal_id": "04d77e20-3912-5f01-bb38-d51d05501e29",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T17:24:17+00:00",
  "company": {
    "name": "Adobe",
    "domain": "adobe.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06T 11/60",
        "label": "Image data processing or generation, in general"
      },
      {
        "code": "G06T 5/50",
        "label": "Image data processing or generation, in general"
      },
      {
        "code": "G06T 7/194",
        "label": "Image data processing or generation, in general"
      },
      {
        "code": "G06T 2207/20221",
        "label": "Image data processing or generation, in general"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Design & Graphics",
      "Product Development"
    ],
    "detail": "In September 2026 Adobe patented prompt-guided image-generation technology for creative workflows, helping tailor generated visuals to specific elements described by a user.",
    "summary": "Adobe was granted a patent for more targeted AI image generation.",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Cusuh Ham",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/cusuh"
      },
      {
        "name": "Matthew David Fisher",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/matthew-fisher-01069b20"
      },
      {
        "name": "Nicholas Isaac Kolkin",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Yuchen Liu",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Richard Zhang",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/richard-zhang-ai"
      },
      {
        "name": "Tobias Hinz",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/tobias-hinz-397881123"
      }
    ],
    "tech_area": "image processing / graphics",
    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12749232",
    "cpc_primary": {
      "code": "G06T 11/60",
      "label": "Image data processing or generation, in general"
    },
    "patent_title": "Localized attention-guided sampling for image generation",
    "patent_number": "US12749232",
    "uspto_assignee": "ADOBE INC.",
    "patent_abstract": "A method, apparatus, non-transitory computer readable medium, and system for image generation include obtaining an input prompt. A customized residual is added to a base parameter of an image generation model based on an element of the input prompt to obtain an updated parameter. The customized residual is determined based on the element of the input prompt. A synthesized image is generated using the image generation model with the updated parameter. The synthesized image depicts the element based on the input prompt.",
    "precision_class": "structural",
    "invention_explanation": "A method that adjusts an image model with a prompt-specific correction so the generated picture pays closer attention to the requested subject or detail.",
    "technologies_mentioned": [
      "generative AI",
      "image generation",
      "computer vision",
      "image processing"
    ]
  }
}

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