A framework for realistic image synthesis

Greenberg, Donald P.

doi:10.1145/310930.310970

Cited by 47 publications

(29 citation statements)

References 14 publications

(5 reference statements)

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“…For example, the use of an accurate geometric model of the body part being rendered and a careful post-processing spectral tone reproduction [8] may improve the realistic appearance of rendered skin specimens. These aspects, however, correspond to different stages of the rendering pipeline which should be evaluated independently A current trend is to perform comparisons between model readings and measured data so that the models can be used in a predictive manner [35]. For example the BioSpec model was tested as a separated unit of the rendering pipeline and the results were compared with actual measured data [24,58,101].…”

Section: Evaluation and Comparison Data Availabilitymentioning

confidence: 99%

“…Greenberg et al [35] proposed a framework to test, validate and improve the fidelity and efficiency of computer graphics light transport simulations and image display procedures. They emphasized the importance of performing comparisons between simulations and actual measurements so that simulations can be used in a predictive manner.…”

Section: An Introduction To Light Interaction With Human Skinmentioning

confidence: 99%

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An Introduction to Light Interaction with Human Skin

Baranoski

Krishnaswamy

2004

RITA

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Despite the notable progress in physically-based rendering, there is still a long way to go before one can automatically generate predictable images of organic materials such as human skin. In this tutorial, the main physical and biological aspects involved in the processes of propagation and absorption of light by skin tissues are examined. These processes affect not only skin appearance, but also its health. For this reason, they have also been the object of study in biomedical research. The models of light interaction with human skin developed by the biomedical community are mainly aimed at the simulation of skin spectral properties which are used to determine the concentration and distribution of various substances. In computer graphics, the focus has been on the simulation of light scattering properties that affect skin appearance. Computer models used to simulate these spectral and scattering properties are described in this tutorial, and their strengths and limitations discussed.

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Section: Evaluation and Comparison Data Availabilitymentioning

confidence: 99%

Section: An Introduction To Light Interaction With Human Skinmentioning

confidence: 99%

An Introduction to Light Interaction with Human Skin

Baranoski

Krishnaswamy

2004

RITA

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“…As stated by Greenberg et al, predictability is instrumental to increase the fidelity of the image synthesis process . It is also the key for making it less dependent on manual tweaks .…”

Section: Introductionmentioning

confidence: 99%

High‐fidelity iridal light transport simulations at interactive rates

Kravchenko

Baranoski

Chen

et al. 2017

Computer Animation & Virtual

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Predictive light transport models based on first-principles simulation approaches have been proposed for complex organic materials. The driving force behind these efforts has been the high-fidelity reproduction of material appearance attributes without one having to rely on the manipulation of ad hoc parameters. These models, however, are usually considered excessively time consuming for rendering and visualization applications requiring interactive rates. In this paper, we propose a strategy to address this open problem with respect to one of the most challenging of these organic materials, namely the human iris. More specifically, starting with the configuration of a predictive iridal light transport model on a parallel-computing platform, we analyze the sensitivity of iridal appearance attributes to key model running parameters in order to achieve an optimal balance between fidelity and performance. We believe that the proposed strategy represents a step toward the real-time and predictive synthesis of high-fidelity iridal images for rendering and visualization applications, and it can be extended to other organic materials.

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“…In contrast, past attempts to produce photorealistic CG images focused on the naturalness of the images rather than on the artificialness. The classic strategy to produce photorealistic CG images is to simulate the physical imaging process as accurately as possible in order to reproduce the natural appearance of real-scene photographs (Greenberg, 1999;Kajiya, 1986). In this paper, the image characteristics that reflect the fidelity of the reproduction of the physical imaging process are called naturalness.…”

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confidence: 99%

Detection of a change in photorealism¹

Seyama

Nagayama

2012

Jpn Psychol Res

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The perceived degree of photorealism is interpreted as reflecting the artificialness or naturalness of images. Natural images (real-scene photographs) are images with high degrees of naturalness, while artificial images (e.g., paintings) are images with low degrees of naturalness. Alternatively, natural images are images with low degrees of artificialness, while artificial images are images with high degrees of artificialness. We attempted to disambiguate these two interpretations of the perception of photorealism by using a change-blindness paradigm. Participants observed an image sequence showing a gradual transformation from a natural image to an artificial image or vice versa, and reported changes they noticed. More participants reported noticing changes in photorealism for the natural-to-artificial transformations than for the opposite transformations. This asymmetry indicates that disappearing naturalness was detected more readily than emerging naturalness, or alternatively, emerging artificialness was detected more readily than disappearing artificialness. The results for the control conditions showed that the emergence of visual information was detected more readily than the disappearance. These results suggest that the perception of photorealism should be considered as the perception of artificialness.

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A framework for realistic image synthesis

Cited by 47 publications

References 14 publications

An Introduction to Light Interaction with Human Skin

An Introduction to Light Interaction with Human Skin

High‐fidelity iridal light transport simulations at interactive rates

Detection of a change in photorealism¹

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A framework for realistic image synthesis

Cited by 47 publications

References 14 publications

An Introduction to Light Interaction with Human Skin

An Introduction to Light Interaction with Human Skin

High‐fidelity iridal light transport simulations at interactive rates

Detection of a change in photorealism1

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Detection of a change in photorealism¹