We present an improved version of a state-of-the-art noise reduction technique for progressive stochastic rendering. Our additions make the method significantly faster at the cost of an acceptable loss in quality. Additionally, we improve the robustness of the method in the presence of difficult features like glossy reflection, caustics, and antialiased edges. We show with visual and numerical comparisons that our extensions improve the overall performance of the original approach and make it more broadly applicable
Image filtering is often applied as a post-process to Monte Carlo generated pictures, in order to re...
In this paper, we propose a new adaptive rendering method to improve the performance of Monte Carlo ...
Procedurally generated noise textures play a key part in the world of computer graphics. However, th...
We present an improved version of a state-of-the-art noise reduction technique for progressive stoch...
A proposed method reduces noise in stochastic ray tracing for interactive progressive rendering. The...
Progressive stochastic ray tracing algorithms are increasingly used in in-teractive applications suc...
Progressive stochastic ray tracing algorithms are increasingly used in interactive applications such...
Progressive stochastic ray tracing is increasingly used in interactive applications. Examples of suc...
Abstract: Bidirectional Monte-Carlo methods of ray tracing allow you to effectively genera...
Geometrical algorithms have been the main subject of research in the field of real time sound render...
Abstract: Monte-Carlo methods of ray tracing allow generating physically correct images of...
Stochastic ray tracing methods have become the industry's standard for today's realistic image synth...
Image filtering is often applied as a post-process to Monte Carlo generated pictures, in order to re...
Figure 1: Dynamic Stochastic Progressive Photon Mapping allows the computation of animations contain...
Domain-continuous visibility determination algorithms have proved to be very efficient at reducing n...
Image filtering is often applied as a post-process to Monte Carlo generated pictures, in order to re...
In this paper, we propose a new adaptive rendering method to improve the performance of Monte Carlo ...
Procedurally generated noise textures play a key part in the world of computer graphics. However, th...
We present an improved version of a state-of-the-art noise reduction technique for progressive stoch...
A proposed method reduces noise in stochastic ray tracing for interactive progressive rendering. The...
Progressive stochastic ray tracing algorithms are increasingly used in in-teractive applications suc...
Progressive stochastic ray tracing algorithms are increasingly used in interactive applications such...
Progressive stochastic ray tracing is increasingly used in interactive applications. Examples of suc...
Abstract: Bidirectional Monte-Carlo methods of ray tracing allow you to effectively genera...
Geometrical algorithms have been the main subject of research in the field of real time sound render...
Abstract: Monte-Carlo methods of ray tracing allow generating physically correct images of...
Stochastic ray tracing methods have become the industry's standard for today's realistic image synth...
Image filtering is often applied as a post-process to Monte Carlo generated pictures, in order to re...
Figure 1: Dynamic Stochastic Progressive Photon Mapping allows the computation of animations contain...
Domain-continuous visibility determination algorithms have proved to be very efficient at reducing n...
Image filtering is often applied as a post-process to Monte Carlo generated pictures, in order to re...
In this paper, we propose a new adaptive rendering method to improve the performance of Monte Carlo ...
Procedurally generated noise textures play a key part in the world of computer graphics. However, th...