Neural rendering
Producing a final image directly with a neural network rather than by simulating light ray-by-ray.
In depth
Neural rendering replaces, fully or in part, the physical light simulation of a classical renderer with a learned model. A traditional engine such as V-Ray traces millions of rays to compute how light bounces; a neural renderer instead predicts the finished image from a compact scene description it has learned to associate with photoreal results. The trade-off is speed against exactness: neural rendering is orders of magnitude faster and reads as convincingly real, but it does not guarantee physically correct light transport, so it suits presentation work more than engineering validation.
Examples
- 1.Turning a grey-box 3D scene into a finished render in seconds
- 2.Upscaling a draft render to print resolution while adding plausible detail
Morf Vision is a platform that automates interior design using the technologies described above.
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