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.
Related terms
- 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...
- Encoder-Decoder
- A neural architecture where an encoder compresses an input into a compact latent representation and a decoder reconstructs an output image from...
- GAN
- Generative Adversarial Network. A framework with two neural networks, a generator that creates synthetic data and a discriminator that tries to distinguish...
- 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...
- Voice Conversion
- A signal-processing or deep-learning technique that transforms the vocal characteristics of a source speaker's utterance to match a target speaker, while preserving...
Explained in
- Deepfake Generation: GANs, Diffusion, and Face-Swap PipelinesA 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...