And Neural Radiance Fields are making it a dramatic step easier ... predict the light that falls on a 3D model, the software can render the 3D model as if it was lit inside the scene.

Together, a sampler and a renderer describe a rendering pipeline. Like traditional graphics pipelines, this rendering procedure is independent of the scene and camera. Also, take a look at the ...

Recent advancements in this field have increasingly incorporated neural networks, which leverage machine learning techniques to enhance rendering quality and efficiency. This integration has led ...

The Neural Rendering session was full of interesting ... Neural Volumes, Neural Radiance Fields, and Neural Radiance Cache. Read through the list fast, and you might start to feel a bit neurotic ...

Neural Radiance Fields (NeRFs) have emerged as an innovative technology. They generate highly realistic 3D models from a series of 2D images, promising a significant improvement in rendering quality.

LF reconstruction becomes an important technology in related fields. Recently, neural rendering shows great potential in reconstruction tasks. However, volume rendering in existing methods needs to ...

Microsoft has announced that neural rendering capabilities are coming to DirectX soon. Cooperative vector support, as it’s called, will lead to “cross-platform enablement of neural rendering ...

However, no existing lighting and material models in the current neural rendering approaches can accurately represent ... through a light sampling strategy in a learned light sampling field. We also ...

Abstract: Neural radiance field has become a fundamental rendering technique across diverse applications such as augmented/virtual reality and autonomous driving. It achieves exceptional rendering ...

Harmonising illumination for people between different scenes is a compelling, yet challenging problem in the fields of computer ... the application of deep neural computing to illumination estimation, ...

Neural Radiance Fields (NeRFs) have emerged as an innovative technology. They generate highly realistic 3D models from a series of 2D images, promising a significant improvement in rendering quality.