tua l E rro r Im age s Figure 1: Our error estimation framework takes into account error due to noise and bias in progressive photon mapping. The reference image is rendered using more than one billion photons, and the rendered image is the result using 15M photons. The noise/bias ratio shows the areas of the image dominated by noise (in green) or bias (in red). The bounded pixels images show the results corresponding to a desired confidence in the estimated error value (pixels with bounded error are shown yellow): a higher confidence (90%) provides a conservative per pixel error estimate, and lower confidence (50%) is useful to estimate the average error. One application of our error estimation framework is automatic rendering termination ...
Visual error metrics play a fundamental role in the quantification of perceived image similarity. Mo...
Automatic white balancing works quite well on average, but seriously fails some of the time. These f...
Image taken under low illumination suffers severe distortion as the photon counts received by the ca...
In rendering research and development, it is important to have a formalizedway of visualizing and co...
We introduce a new concept for accelerating realistic image synthesis algorithms. At the core of thi...
This paper proposes a new methodology for measuring the error of unbiased physically based rendering...
We introduce a new concept for accelerating realistic image synthesis algorithms. At the core of thi...
Figure 1: A complex scene with fine details and global illumination. Left: Images rendered with PBRT...
Evaluating image quality in Monte Carlo rendered images is an important aspect of the rendering proc...
Scientists use digital camera data as the input to their analysis of image processing algorithms. In...
A new error metric targeting rendered high dynamic range images is presented. Our method computes a ...
Synthetically generating images and video frames of complex 3D scenes using some photo-realistic ren...
Synthetically generating images and video frames of complex 3D scenes using some photo-realistic ren...
An image of a scene depends on the reflectance properties of the objects in the scene and on the ill...
Synthetically generating images and video frames of complex 3D scenes using some photo-realistic ren...
Visual error metrics play a fundamental role in the quantification of perceived image similarity. Mo...
Automatic white balancing works quite well on average, but seriously fails some of the time. These f...
Image taken under low illumination suffers severe distortion as the photon counts received by the ca...
In rendering research and development, it is important to have a formalizedway of visualizing and co...
We introduce a new concept for accelerating realistic image synthesis algorithms. At the core of thi...
This paper proposes a new methodology for measuring the error of unbiased physically based rendering...
We introduce a new concept for accelerating realistic image synthesis algorithms. At the core of thi...
Figure 1: A complex scene with fine details and global illumination. Left: Images rendered with PBRT...
Evaluating image quality in Monte Carlo rendered images is an important aspect of the rendering proc...
Scientists use digital camera data as the input to their analysis of image processing algorithms. In...
A new error metric targeting rendered high dynamic range images is presented. Our method computes a ...
Synthetically generating images and video frames of complex 3D scenes using some photo-realistic ren...
Synthetically generating images and video frames of complex 3D scenes using some photo-realistic ren...
An image of a scene depends on the reflectance properties of the objects in the scene and on the ill...
Synthetically generating images and video frames of complex 3D scenes using some photo-realistic ren...
Visual error metrics play a fundamental role in the quantification of perceived image similarity. Mo...
Automatic white balancing works quite well on average, but seriously fails some of the time. These f...
Image taken under low illumination suffers severe distortion as the photon counts received by the ca...