Blending Mask
Definition
In face-swap pipelines, a pixel-level mask that defines the face region to be composited onto the target frame. Imperfect masks leave boundary artifacts: color discontinuities, sharpness mismatches, or halo effects at the face perimeter.
- Context
- Face-swap and deepfake compositing pipelines
- Function
- Defines the pixel region composited from source face onto target frame
- Common artefact
- Boundary halo or sharpness mismatch at mask edge
- Forensic use
- Edge inconsistency is a manual and algorithmic detection cue
Common questions
What causes visible artefacts at a blending mask boundary?+
The swapped face region is usually rendered at a different resolution, lighting model, or compression history than the surrounding frame. When the mask edge does not perfectly track natural features like hairline or jaw contour, the mismatch shows up as a colour step, a soft halo, or a slight blur ring that real footage does not produce.
How do analysts use blending mask artefacts to flag a deepfake?+
Frame-by-frame inspection or automated edge-consistency detectors look for a fixed-shape boundary that persists across frames even as the face moves, since a genuine face has no such seam. Frequency-domain analysis can also reveal a sharpness discontinuity right at the mask perimeter that would not exist in an unaltered recording.
Related terms
- Autoencoder
- A neural network that compresses an input into a compact latent representation (encoder) then reconstructs it (decoder). Face-swap pipelines train autoencoders with...
- Checkerboard Artifact
- A grid-like pattern visible in the Fourier power spectrum of GAN outputs, caused by transposed convolution or bilinear-upsampling operations used to increase...
- Diffusion Model
- A generative neural network architecture (Ho et al., 2020; Stable Diffusion, Rombach et al., 2022) that learns to reverse a noise-addition process...
- Generative Adversarial Network (GAN)
- A machine learning architecture consisting of two networks trained simultaneously: a generator that produces synthetic images and a discriminator that classifies images...
- Latent Space
- The compressed, lower-dimensional representation of data learned by a neural network's internal layers. Generative models sample from or navigate this space to...