Jun 12, 2023 · This paper proposes a novel Neural Intersection Function based on a multilayer perceptron whose core operation contains only dense matrix ...

We introduce Neural Intersection Function (NIF), a novel method based on a multilayer perceptron (MLP) to accelerate ray casting as an alternative to BVH-based ...

Duration: 26:45
Posted: Jul 9, 2023

The objective of this project is to implement and rigorously evaluate this Neural Intersection Function against the industry-standard bounding volume hierarchy ...

This paper proposes a novel Neural Intersection Function based on a multilayer perceptron whose core operation contains only dense matrix multiplication with ...

Our method is the first solution integrating the neural network-based approach and BVH-based ray tracing pipeline into one unified rendering framework. We can ...

Jul 9, 2023 · This paper proposes a novel Neural Intersection Function based on a multilayer perceptron whose core operation contains only dense matrix ...

NIF runs NN inference whose memory access is coherent and execution is uniform, which is ideal for GPUs. This results in better utilization of GPUs. We can also ...

Jun 13, 2023 · #neural #intersection function paper for #HPG2023 is up now. The thai statue w. 10M tris is represented in 320kB. We mostly studied the use ...

Oct 14, 2016 · However, is it possible to compute an intersection point of NN approximation function with a line, given by two points [Ax, Ay] and [Bx, By] ?