Neural graphics primitives or light fields should be leveraged when the project falls into these conditions:
• A physical sample of the product exists (common in fashion).
• Throughout the lifetime of the visual digital twin, the product will not need to be edited: the product is a permanent collection item. The brand can capture it once and use it everywhere.
• The ability to present the product in free camera motion (manipulate and rotate ‘in 3D’) is desirable (for instance, a moving image on social media has a 7x click rate compared to the static product pack shot).
• The same product needs to be presented in a variety of backgrounds, contexts, resolutions, and angles. For instance, in visual merchandising, or when displaying products with different image constraints (online marketplaces with different background or aspect ratio requirements).
• The visual asset has a very long lifetime (archives, art & couture pieces).
In all these instances, SmartPixels is deploying light-field-based imaging and rendering solutions.
Neural Radiance Fields (NeRF) is a machine learning algorithm that can be used to render 3D scenes with realistic lighting and reflections.
Some of the benefits of using NeRF for lifelike 3D rendering include:
– Increased realism: NeRF uses a neural network to learn the relationships between the appearance of a scene and the 3D structure of the objects within it, allowing it to generate highly realistic 3D images from a single 2D image or sequence of images.
– High efficiency: NeRF can be trained on large datasets, allowing it to process large amounts of information quickly and accurately. This can make 3D rendering more efficient, especially for complex or large scenes.
– Improved speed: NeRF can process data in parallel, making it faster than traditional rendering techniques. This can be particularly useful for real-time rendering applications.
– Enhanced flexibility: NeRF can be trained to adapt to different input data, allowing it to be used in a wide range of 3D rendering applications.
– Reduced complexity: NeRF can automate certain aspects of 3D renderings, such as lighting and shading, reducing the complexity of the process and allowing artists to focus on other aspects of the scene.