Face Image Blending With Deformed Masks for Forgery Detection

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Solution Overview

Problem

Current face swap technologies generate fake face images that lack diversity and are easily recognizable as manipulated.

Innovation Solution

A method involving generating a first updated face image with non-real characteristics, adjusting its color distribution, creating a target face mask by randomly deforming the face region, and blending it with a second face image to produce a diverse and realistic fake face image.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If face swap technology is used to generate fake face images, then the ability to create manipulated images is improved, but the diversity and realism of the generated images deteriorates

Engineering Contradiction:

Improveability to create manipulated imagesVSAvoiddiversity and realism of generated images

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent applies dynamics by making the face mask generation process adaptive and variable. The mask generation module dynamically adjusts the mask based on the target face image characteristics, creating varied blending regions that improve both diversity and realism of the generated fake face images while maintaining the face swap functionality

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent changes parameters by adjusting the face mask parameters (such as mask strength, blending radius, and deformation degree) to optimize the blending effect. This allows the system to generate diverse and realistic fake face images by varying these parameters across different generation iterations

Inventive Principle:

Principle #35Parameter changes

2Device complexity

If simple face swapping is used, then the process complexity is reduced, but the authenticity and diversity of the fake face images deteriorates

Engineering Contradiction:

Improveprocess complexityVSAvoidauthenticity of fake face images

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The patent segments the face swap process into distinct modules: face detection, face mask generation, image blending, and result output. This segmentation allows each module to be optimized independently, maintaining reasonable complexity while significantly improving the authenticity and diversity of the generated images through specialized processing in each stage

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a face mask as an intermediary element between the source and target face images. This mask serves as a mediator that controls the blending process, enabling realistic transitions and maintaining authenticity while keeping the overall process manageable through a clear intermediate step

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12505652B2Face synthesis for forgery detection

Publication Date: 2025.12.23 TENCENT TECHNOLOGY (SHENZHEN) CO LTD

AI summary

This application relates to a face image processing method, apparatus, computer device, and storage medium. The method includes acquiring a first face image and a second face image, the first face image and the second face image being images of real faces; generating a first updated face image with non-real face image characteristics based on the first face image; adjusting color distribution of the first updated face image according to color distribution of the second face image to obtain a first adjusted face image; acquiring a target face mask of the first face image, the target face mask being generated by randomly deforming a face region of the first face image; and blending the first adjusted face image and the second face image according to the target face mask to obtain a target face image. Accordingly, a diversity of target face images can be generated.