NeRF (Neural Radiance Field)
Definition
A neural representation that encodes a 3-D scene as a continuous volumetric function, allowing novel viewpoints to be rendered. In talking-head systems, a NeRF-based model can generate new head poses and lip movements from a single portrait photograph.
- Full name
- Neural Radiance Field
- Representation
- Continuous volumetric scene function
- Output
- Novel viewpoint rendering
- Deepfake use
- Talking-head pose and lip synthesis from one photo
Common questions
How does a NeRF differ from a GAN in face synthesis?+
A NeRF models 3-D scene geometry to render consistent new viewpoints, while a GAN learns to generate plausible 2-D images directly without an explicit 3-D representation.
Why is NeRF relevant to deepfake detection?+
Because it can produce convincing new head poses from limited source material, so examiners look for view-consistency errors and depth artefacts specific to volumetric rendering.
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