Auto-generated prompt system and method for guiding image capture
AssigneePerfect Mobile Corp.
InventorsChia-Che YANG, Chiao-Yu YANG
Life of this patent
Estimating the term…
Abstract
A computing device obtains an image and detects at least one target object depicted in the image. The computing device applies a visual-language model (VLM) to extract the contextual cues from the image relating to the at least one target object. The computing device obtains an aesthetic rule describing a desired post-processing result and generates editing prompts based on the contextual cues and the aesthetic rule. The computing device performs post-processing on the image by the generative artificial intelligence model based on the editing prompts and outputs a modified image.
Claims15
A method implemented in a computing device, comprising:
- obtaining an image;
- detecting at least one target object depicted in the image;
- applying a visual-language model (VLM) to extract the contextual cues from the image relating to the at least one target object;
- obtaining an aesthetic rule describing a desired post-processing result;
- generating editing prompts based on the contextual cues and the aesthetic rule;
- performing post-processing on the image by the generative artificial intelligence model based on the editing prompts;
- and
- outputting a modified image.
A system, comprising:
- a memory storing instructions;
- a processor coupled to the memory and configured by the instructions to at least:
- obtain an image;
- detect at least one target object depicted in the image;
- apply a visual-language model (VLM) to extract the contextual cues from the image relating to the at least one target object;
- obtain an aesthetic rule describing a desired post-processing result;
- generate editing prompts based on the contextual cues and the aesthetic rule;
- perform post-processing on the image by the generative artificial intelligence model based on the editing prompts;
- and
- output a modified image.
A non-transitory computer-readable storage medium storing instructions to be implemented by a computing device having a processor, wherein the instructions, when executed by the processor, cause the computing device to at least:
- obtain an image;
- detect at least one target object depicted in the image;
- apply a visual-language model (VLM) to extract the contextual cues from the image relating to the at least one target object;
- obtain an aesthetic rule describing a desired post-processing result;
- generate editing prompts based on the contextual cues and the aesthetic rule;
- perform post-processing on the image by the generative artificial intelligence model based on the editing prompts;
- and
- output a modified image.
Dependencies are inferred from the claim text.