… The example of neural network for triangular mesh generation is examined. The neural
implementation of the rendering system in overall is described. The neural networks usage for …

… -of-the-art methods, we provide an overview of fundamental … we discuss the fundamentals of
neural rendering by describing the … Specifically, we clarify the definition of the different scene …

… Starting with an overview of the underlying computer graphics and machine learning … of
neural rendering approaches. Specifically, our emphasis is on the type of control, ie, how the …

… Overview of our framework. Given a set of multi-view images, we optimize representation
networks modeling shape and appearance of a scene end to end using a differentiable sphere …

… Motivated by these limitations, we introduce a novel method for rendering a sparse light field.
Our neural rendering function operates in the style of … Model Overview. Given a target ray to …

… Starting with an overview of the underlying computer graphics and machine learning … of
neural rendering approaches. Specifically, our emphasis is on the type of control, ie, how the …

… Finally, we calculate the reconstruction error or loss that guides the neural network … We
define a renderer as a forward map which converts some neural field representation of 3D shape …

… Overview of our neural rendering pipeline: Given an object with a valid uv-map parameterization
… In addition we provide a background image to the neural renderer, to output the final …

… Figure 1: Overview of the model architecture used in our experiments. Grey boxes denote
intermediate representations, zi latent variables, + element-wise addition, and blue and red …

… We propose a learned image-guided rendering technique that combines the benefits of
image-based … Figure 1: Overview of our image-guided rendering approach: based on …