Nvidia corporation (20240354912). RANK-1 LATTICE SAMPLING simplified abstract
Contents
RANK-1 LATTICE SAMPLING
Organization Name
Inventor(s)
Alexander Georg Keller of Berlin (DE)
Carsten Alexander Waechter of Berlin (DE)
Nikolaus Binder of Berlin (DE)
RANK-1 LATTICE SAMPLING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240354912 titled 'RANK-1 LATTICE SAMPLING
Abstract: In photorealistic image synthesis by light transport simulation, the colors of each pixel are an integral of a high-dimensional function. However, the functions to integrate contain discontinuities that cannot be predicted efficiently. In practice, the pixel colors are estimated by using Monte Carlo and quasi-Monte Carlo methods to sample light transport paths that connect light sources and cameras and summing up the contributions to evaluate an integral. Because of the sampling, images appear noisy when the number of samples is insufficient. A rank-1 lattice sequence provides sample locations and these sample locations can be enumerated (assigned or distributed to pixels) according to a space-filling curve superimposed on a pixel grid. Combinations of space-filling curves and rank-1 lattice sequences reduce correlations, are deterministic, and may be executed for each pixel in parallel. The rank-1 lattice sequence enables real-time light transport simulation, producing high visual quality even for low sampling rates.
Key Features and Innovation:
- Utilizes Monte Carlo and quasi-Monte Carlo methods for estimating pixel colors in photorealistic image synthesis.
- Uses a rank-1 lattice sequence to provide sample locations for efficient sampling of light transport paths.
- Enumerates sample locations based on a space-filling curve to reduce correlations and improve visual quality.
- Enables real-time light transport simulation with high visual quality even at low sampling rates.
- Deterministic approach that can be executed for each pixel in parallel.
Potential Applications: - Computer graphics - Virtual reality - Animation - Architectural visualization - Gaming industry
Problems Solved: - Efficient estimation of pixel colors in photorealistic image synthesis - Reduction of noise in images due to insufficient sampling - Real-time simulation of light transport paths
Benefits: - High visual quality in images - Real-time rendering capabilities - Improved efficiency in light transport simulation
Commercial Applications: Title: Real-time Photorealistic Image Synthesis for Virtual Reality and Gaming This technology can be used in the gaming industry to create realistic graphics and immersive virtual reality experiences. It can also be applied in architectural visualization for accurate rendering of lighting effects.
Questions about Photorealistic Image Synthesis: 1. How does the rank-1 lattice sequence improve the efficiency of sampling in light transport simulation? 2. What are the potential drawbacks of using Monte Carlo and quasi-Monte Carlo methods in estimating pixel colors for photorealistic images?
Original Abstract Submitted
in photorealistic image synthesis by light transport simulation, the colors of each pixel are an integral of a high-dimensional function. however, the functions to integrate contain discontinuities that cannot be predicted efficiently. in practice, the pixel colors are estimated by using monte carlo and quasi-monte carlo methods to sample light transport paths that connect light sources and cameras and summing up the contributions to evaluate an integral. because of the sampling, images appear noisy when the number of samples is insufficient. a rank-1 lattice sequence provides sample locations and these sample locations can be enumerated (assigned or distributed to pixels) according to a space-filling curve superimposed on a pixel grid. combinations of space-filling curves and rank-1 lattice sequences reduce correlations, are deterministic, and may be executed for each pixel in parallel. the rank-1 lattice sequence enables real-time light transport simulation, producing high visual quality even for low sampling rates.
