Momentsingraphics

We propose Gaussian point splatting, a stochastic method to render Gaussian splats that scales extremely well to scenes with many Gaussians. Our core idea is to sample pixel-sized, opaque points from the Gaussians and to splat them to a framebuffer using

We are in a transition period, where ray tracing and rasterization coexist. Typical real-time rendering pipelines still use rasterization (often with deferred shading) for primary visibility and then trace rays for shadows, reflections or global illuminat

Path tracing is ubiquitous in production rendering and path guiding has established itself as a powerful approach to mitigate its failure cases. Several widely used methods partition the scene using a k-d tree and store a directional guiding distribution

A core operation in Monte Carlo volume rendering is transmittance estimation: Given a segment along a ray, the goal is to estimate the fraction of light that will pass through this segment without encountering absorption or out-scattering. A naive approac

Now that we have a spectral renderer, it is time to see if it was worth the effort. I hope you agree with my reasoning in part 1, that RGB rendering does not match the physical reality, but does it really matter? We will now compare RGB rendering to spect

Based on the insights from part 1, we have the means to define illuminant and reflectance spectra for our scene data. Then the color of a pixel arises from an integral over a product of spectra. The main goal of this blog post is to find efficient ways to

In my previous blog post, I explained spectral radiometric quantities and a few basics of spectral rendering. In this blog post series, we dive into much more detail on spectral rendering. I present a specific way to implement it in a real-time path trace

Rather than treating colors as RGB triples, spectral rendering uses spectra, which specify an intensity for each wavelength. This blog post series describes how spectral rendering can be implemented at a relatively low overhead (as compared to RGB renderi

Lightmaps are popular for precomputed global illumination, but require costly recomputation when the scene changes. We present the theory and an iterative algorithm to update lightmaps efficiently, when objects are inserted or removed. Our method is based

Physically based differentiable rendering has established itself as key to inverse rendering, in which scenes are recovered from images through gradient-based optimization. Taking the derivative of the rendering equation is made difficult by the presence