GENERATING OBJECTS OF MIXED CONCEPTS USING TEXT-TO-IMAGE DIFFUSION MODELS

GENERATING OBJECTS OF MIXED CONCEPTS USING TEXT-TO-IMAGE DIFFUSION MODELS

Generating an object using a diffusion model includes obtaining a first input and a second input, and synthesizing an output object from the first input and the second input. The synthesizing of the output object includes generating a layout of the output object from the first input, injecting the s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Liew, Jun Hao, Feng, Jiashi, Yan, Hanshu, Zhou, Daquan
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:Generating an object using a diffusion model includes obtaining a first input and a second input, and synthesizing an output object from the first input and the second input. The synthesizing of the output object includes generating a layout of the output object from the first input, injecting the second input as a content conditioner to the layout of the output object, and de-noising the layout of the output object injected with the content conditioner to generate a content of the output object.