The Experts below are selected from a list of 15465 Experts worldwide ranked by ideXlab platform
Jaroslav Křivánek - One of the best experts on this subject based on the ideXlab platform.
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A Spatial Target Function for Metropolis Photon Tracing
ACM Transactions on Graphics, 2017Co-Authors: Adrien Gruson, Mickaël Ribardière, Jiří Vorba, Rémi Cozot, Kadi Bouatouch, Jaroslav KřivánekAbstract:The human visual system is sensitive to relative differences in luminance, but light transport simulation algorithms based on Metropolis sampling often result in a highly nonuniform relative error distribution over the Rendered Image. Although this issue has previously been addressed in the context of the Metropolis light transport algorithm, our work focuses on Metropolis photon tracing. We present a new target function (TF) for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the TF from paths sampled during rendering. In addition to the approach taken in previous work, where the TF is defined in the Image plane, ours can be associated with compact spatial regions. This allows us to take advantage of illumination coherence to more robustly estimate the TF while adapting to geometry discontinuities. To sample from this TF, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of Image quality by a large margin.
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A Spatial Target Function for Metropolis Photon Tracing
ACM Transactions on Graphics, 2017Co-Authors: Adrien Gruson, Mickaël Ribardière, Jiří Vorba, Rémi Cozot, Kadi Bouatouch, Jaroslav KřivánekAbstract:International audienceThe human visual system is sensitive to relative differences in luminance, but light transport simulation algorithms based on Metropolis sampling often result in a highly nonuniform relative error distribution over the Rendered Image. Although this issue has previously been addressed in the context of the Metropolis light transport algorithm, our work focuses on Metropolis photon tracing. We present a new target function (TF) for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the TF from paths sampled during rendering. In addition to the approach taken in previous work, where the TF is defined in the Image plane, ours can be associated with compact spatial regions. This allows us to take advantage of illumination coherence to more robustly estimate the TF while adapting to geometry discontinuities. To sample from this TF, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of Image quality by a large margin
Adrien Gruson - One of the best experts on this subject based on the ideXlab platform.
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A Spatial Target Function for Metropolis Photon Tracing
ACM Transactions on Graphics, 2017Co-Authors: Adrien Gruson, Mickaël Ribardière, Jiří Vorba, Rémi Cozot, Kadi Bouatouch, Jaroslav KřivánekAbstract:The human visual system is sensitive to relative differences in luminance, but light transport simulation algorithms based on Metropolis sampling often result in a highly nonuniform relative error distribution over the Rendered Image. Although this issue has previously been addressed in the context of the Metropolis light transport algorithm, our work focuses on Metropolis photon tracing. We present a new target function (TF) for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the TF from paths sampled during rendering. In addition to the approach taken in previous work, where the TF is defined in the Image plane, ours can be associated with compact spatial regions. This allows us to take advantage of illumination coherence to more robustly estimate the TF while adapting to geometry discontinuities. To sample from this TF, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of Image quality by a large margin.
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A Spatial Target Function for Metropolis Photon Tracing
ACM Transactions on Graphics, 2017Co-Authors: Adrien Gruson, Mickaël Ribardière, Jiří Vorba, Rémi Cozot, Kadi Bouatouch, Jaroslav KřivánekAbstract:International audienceThe human visual system is sensitive to relative differences in luminance, but light transport simulation algorithms based on Metropolis sampling often result in a highly nonuniform relative error distribution over the Rendered Image. Although this issue has previously been addressed in the context of the Metropolis light transport algorithm, our work focuses on Metropolis photon tracing. We present a new target function (TF) for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the TF from paths sampled during rendering. In addition to the approach taken in previous work, where the TF is defined in the Image plane, ours can be associated with compact spatial regions. This allows us to take advantage of illumination coherence to more robustly estimate the TF while adapting to geometry discontinuities. To sample from this TF, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of Image quality by a large margin
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Automatic Aesthetics-based Lighting Design with Global Illumination
2014Co-Authors: Vincent Léon, Adrien Gruson, Rémi Cozot, Kadi BouatouchAbstract:In computer graphics, lighting plays an important role in the appearance of a scene. A change in the configuration of light sources can lead to different aesthetics in the final Rendered Image. Lighting design becomes increasingly complex when using sophisticated global illumination techniques. In this paper, we present a new approach to automatically design the lighting configuration according to the aesthetic goal specified by the user as a set of target parameters. Target parameters are used to set up an objective function which is minimized using an optimization method. The results show that our method can be used to automatically design a lighting configuration that will give to the final Image a classic photographic look.
Rémi Cozot - One of the best experts on this subject based on the ideXlab platform.
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A Spatial Target Function for Metropolis Photon Tracing
ACM Transactions on Graphics, 2017Co-Authors: Adrien Gruson, Mickaël Ribardière, Jiří Vorba, Rémi Cozot, Kadi Bouatouch, Jaroslav KřivánekAbstract:The human visual system is sensitive to relative differences in luminance, but light transport simulation algorithms based on Metropolis sampling often result in a highly nonuniform relative error distribution over the Rendered Image. Although this issue has previously been addressed in the context of the Metropolis light transport algorithm, our work focuses on Metropolis photon tracing. We present a new target function (TF) for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the TF from paths sampled during rendering. In addition to the approach taken in previous work, where the TF is defined in the Image plane, ours can be associated with compact spatial regions. This allows us to take advantage of illumination coherence to more robustly estimate the TF while adapting to geometry discontinuities. To sample from this TF, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of Image quality by a large margin.
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A Spatial Target Function for Metropolis Photon Tracing
ACM Transactions on Graphics, 2017Co-Authors: Adrien Gruson, Mickaël Ribardière, Jiří Vorba, Rémi Cozot, Kadi Bouatouch, Jaroslav KřivánekAbstract:International audienceThe human visual system is sensitive to relative differences in luminance, but light transport simulation algorithms based on Metropolis sampling often result in a highly nonuniform relative error distribution over the Rendered Image. Although this issue has previously been addressed in the context of the Metropolis light transport algorithm, our work focuses on Metropolis photon tracing. We present a new target function (TF) for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the TF from paths sampled during rendering. In addition to the approach taken in previous work, where the TF is defined in the Image plane, ours can be associated with compact spatial regions. This allows us to take advantage of illumination coherence to more robustly estimate the TF while adapting to geometry discontinuities. To sample from this TF, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of Image quality by a large margin
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Automatic Aesthetics-based Lighting Design with Global Illumination
2014Co-Authors: Vincent Léon, Adrien Gruson, Rémi Cozot, Kadi BouatouchAbstract:In computer graphics, lighting plays an important role in the appearance of a scene. A change in the configuration of light sources can lead to different aesthetics in the final Rendered Image. Lighting design becomes increasingly complex when using sophisticated global illumination techniques. In this paper, we present a new approach to automatically design the lighting configuration according to the aesthetic goal specified by the user as a set of target parameters. Target parameters are used to set up an objective function which is minimized using an optimization method. The results show that our method can be used to automatically design a lighting configuration that will give to the final Image a classic photographic look.
Kadi Bouatouch - One of the best experts on this subject based on the ideXlab platform.
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A Spatial Target Function for Metropolis Photon Tracing
ACM Transactions on Graphics, 2017Co-Authors: Adrien Gruson, Mickaël Ribardière, Jiří Vorba, Rémi Cozot, Kadi Bouatouch, Jaroslav KřivánekAbstract:The human visual system is sensitive to relative differences in luminance, but light transport simulation algorithms based on Metropolis sampling often result in a highly nonuniform relative error distribution over the Rendered Image. Although this issue has previously been addressed in the context of the Metropolis light transport algorithm, our work focuses on Metropolis photon tracing. We present a new target function (TF) for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the TF from paths sampled during rendering. In addition to the approach taken in previous work, where the TF is defined in the Image plane, ours can be associated with compact spatial regions. This allows us to take advantage of illumination coherence to more robustly estimate the TF while adapting to geometry discontinuities. To sample from this TF, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of Image quality by a large margin.
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A Spatial Target Function for Metropolis Photon Tracing
ACM Transactions on Graphics, 2017Co-Authors: Adrien Gruson, Mickaël Ribardière, Jiří Vorba, Rémi Cozot, Kadi Bouatouch, Jaroslav KřivánekAbstract:International audienceThe human visual system is sensitive to relative differences in luminance, but light transport simulation algorithms based on Metropolis sampling often result in a highly nonuniform relative error distribution over the Rendered Image. Although this issue has previously been addressed in the context of the Metropolis light transport algorithm, our work focuses on Metropolis photon tracing. We present a new target function (TF) for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the TF from paths sampled during rendering. In addition to the approach taken in previous work, where the TF is defined in the Image plane, ours can be associated with compact spatial regions. This allows us to take advantage of illumination coherence to more robustly estimate the TF while adapting to geometry discontinuities. To sample from this TF, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of Image quality by a large margin
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Automatic Aesthetics-based Lighting Design with Global Illumination
2014Co-Authors: Vincent Léon, Adrien Gruson, Rémi Cozot, Kadi BouatouchAbstract:In computer graphics, lighting plays an important role in the appearance of a scene. A change in the configuration of light sources can lead to different aesthetics in the final Rendered Image. Lighting design becomes increasingly complex when using sophisticated global illumination techniques. In this paper, we present a new approach to automatically design the lighting configuration according to the aesthetic goal specified by the user as a set of target parameters. Target parameters are used to set up an objective function which is minimized using an optimization method. The results show that our method can be used to automatically design a lighting configuration that will give to the final Image a classic photographic look.
Mickaël Ribardière - One of the best experts on this subject based on the ideXlab platform.
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A Spatial Target Function for Metropolis Photon Tracing
ACM Transactions on Graphics, 2017Co-Authors: Adrien Gruson, Mickaël Ribardière, Jiří Vorba, Rémi Cozot, Kadi Bouatouch, Jaroslav KřivánekAbstract:The human visual system is sensitive to relative differences in luminance, but light transport simulation algorithms based on Metropolis sampling often result in a highly nonuniform relative error distribution over the Rendered Image. Although this issue has previously been addressed in the context of the Metropolis light transport algorithm, our work focuses on Metropolis photon tracing. We present a new target function (TF) for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the TF from paths sampled during rendering. In addition to the approach taken in previous work, where the TF is defined in the Image plane, ours can be associated with compact spatial regions. This allows us to take advantage of illumination coherence to more robustly estimate the TF while adapting to geometry discontinuities. To sample from this TF, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of Image quality by a large margin.
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A Spatial Target Function for Metropolis Photon Tracing
ACM Transactions on Graphics, 2017Co-Authors: Adrien Gruson, Mickaël Ribardière, Jiří Vorba, Rémi Cozot, Kadi Bouatouch, Jaroslav KřivánekAbstract:International audienceThe human visual system is sensitive to relative differences in luminance, but light transport simulation algorithms based on Metropolis sampling often result in a highly nonuniform relative error distribution over the Rendered Image. Although this issue has previously been addressed in the context of the Metropolis light transport algorithm, our work focuses on Metropolis photon tracing. We present a new target function (TF) for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the TF from paths sampled during rendering. In addition to the approach taken in previous work, where the TF is defined in the Image plane, ours can be associated with compact spatial regions. This allows us to take advantage of illumination coherence to more robustly estimate the TF while adapting to geometry discontinuities. To sample from this TF, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of Image quality by a large margin
