AI 3D Engraving Pipeline Using Depth Maps From Uploaded Images
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing AI-based image creation platforms lack unique and creative features for transforming user-loaded images into digital 3D transparent objects, failing to engage users effectively.
Innovation Solution
A novel AI-based digital 3D engraving pipeline that utilizes a depth map diffusion model to convert user-uploaded images into eye-catching 3D engraved objects, allowing for personalized text, font selection, and visual/audio elements, with user-friendly automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional AI-based image creation features (e.g., photo framing) are provided, then the system offers standard functionality, but user interest and creativity are not triggered
Solution Approach 1:
The patent transforms 2D images into 3D transparent objects with depth mapping, creating a dimensional leap from traditional flat image processing. The generative model converts standard images into three-dimensional engraved objects with varying transparency levels, offering users a novel creative dimension that goes beyond conventional photo framing features.
Solution Approach 2:
The patent replaces traditional manual image editing and physical engraving processes with AI-based generative models. The system automatically performs depth map generation, 3D object creation, and engraving simulation through machine learning algorithms, eliminating the need for manual intervention while enhancing creativity.
2Productivity
If manual workflows are used for 3D engraving creation, then precision can be maintained, but time consumption increases
Solution Approach 1:
The patent pre-trains generative models on extensive datasets of images and their corresponding depth maps and 3D representations. This preliminary training enables the system to automatically perform complex 3D engraving transformations in real-time without requiring manual preprocessing or iterative adjustments during actual use.
Solution Approach 2:
The system employs self-service mechanisms where the generative model autonomously analyzes uploaded images, generates appropriate depth maps, creates 3D transparent objects, and simulates engraving effects without user intervention. The AI system serves itself by making creative decisions about depth mapping, transparency distribution, and engraving parameters based on the input image characteristics.
3Ease of operation
If simple image processing features are offered, then ease of use is maintained, but user engagement and captivation are reduced
Solution Approach 1:
The patent introduces an AI-based generative model as an intermediary between the user's simple image upload action and the complex 3D engraving output. The user simply uploads an image through a user-friendly interface, and the generative model acts as an intelligent mediator that automatically performs all complex transformations, generating captivating 3D engraved objects without requiring the user to understand or control the underlying complexity.
Data Source
AI summary
A data processing system implements receiving, via a user interface of a client device, an image; constructing, via a prompt construction unit, a first prompt by appending the image to a first instruction string including instructions to a generative model; providing the first prompt to the generative model; generating, by the generative model and according to the first prompt, a depth map using an intensity of darkness of each pixel of the image as a respective depth of the pixel in a digital three-dimensional (3D) transparent object; digitally engraving, by the generative model and according to the first prompt, each pixel of the image in the 3D transparent object based on the respective depth in the depth map into a digital 3D engraved object; receiving the digital 3D engraved object from the generative model; and providing the digital 3D engraved object to display on the user interface of the client device.