Article
Optics
David Blinder, Maksymilian Chlipala, Tomasz Kozacki, Peter Schelkens
Summary: Computer-generated holography algorithms come in various forms, each with different trade-offs in visual quality and calculation speed. None of these algorithms can accurately capture all 3D visual cues simultaneously. A novel algorithm combining point-based CGH precision with ray-tracing accurate shading has been proposed.
Article
Computer Science, Software Engineering
Zander Majercik, Thomas Muller, Alexander Keller, Derek Nowrouzezahrai, Morgan McGuire
Summary: This study enhances sample efficiency for transport contributions terminating on diffuse scattering events by combining screen-space reservoir resampling and sparse world-space probes, resulting in clear improvements over purely path tracing and probe-based baselines in rendering global illumination interactively in complex scenes.
COMPUTER GRAPHICS FORUM
(2022)
Article
Multidisciplinary Sciences
William J. Bradshaw, Ethan C. Alley, Jonathan H. Huggins, Alun L. Lloyd, Kevin M. Esvelt
Summary: Bidirectional tracing is more effective in improving outbreak control and reducing effective reproduction number, compared to forward-tracing alone. Expanding the manual tracing window or implementing smartphone-based exposure notification can significantly increase the benefits of bidirectional tracing.
NATURE COMMUNICATIONS
(2021)
Article
Computer Science, Software Engineering
Arnau Colom, Ricardo Marques, Luis Paulo Santos
Summary: This study proposes a VPL-based ray tracing approach that achieves interactive rendering by clustering and computing visibility on the GPU.
COMPUTERS & GRAPHICS-UK
(2022)
Article
Computer Science, Software Engineering
Fujia Su, Sheng Li, Guoping Wang
Summary: This paper introduces a new method SPCBPT for accelerating bidirectional path tracing by constructing a light selection distribution. The method divides the sub-paths into multiple subspaces and uses a subspace-based two-stage sampling method to select the light sub-paths, achieving efficient light selection. Additionally, the method considers the Multiple Importance Sampling (MIS) term to optimize the upper bound of the combined estimator's variance.
ACM TRANSACTIONS ON GRAPHICS
(2022)
Article
Astronomy & Astrophysics
Justin C. Holmes, G. L. Delzanno, P. L. Colestock, K. Yakymenko
Summary: Ray tracing is an effective method for modeling electromagnetic wave propagation in Earth's magnetosphere. However, existing methods may have issues with energy conservation and accounting for the full range of wave properties. To address these problems, a 3D magnetospheric ray tracing code called MESHRAY has been developed. MESHRAY uses the conservation of Poynting flux and maps wave energy density to a mesh, providing self-consistency and numerical robustness. Additionally, the impact of neglecting phase information and superposition on the accuracy of mapping wave intensity to a mesh is investigated.
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS
(2023)
Article
Computer Science, Software Engineering
Duan Gao, Haoyuan Mu, Kun Xu
Summary: We propose a novel method called neural global illumination for fast rendering of full global illumination in static scenes with dynamic viewpoint and area lighting. Our method utilizes a deep rendering network to model the mapping from each shading point to global illumination. We also introduce a neural-network-friendly input representation and a screen-space neural buffer to share global information between objects. This method can synthesize complex global illumination effects efficiently and is capable of handling scenes with multiple-bounce glossy interreflection, color bleeding, and caustics.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Energy & Fuels
Calcabrini Andres, Cardose Ruben, Gribnau David, Babal Pavel, Manganiello Patrizio, Zeman Miro, Isabella Olindo
Summary: This article introduces a backward ray tracing simulation approach for calculating the irradiance on photovoltaic systems in geometrically complex scenarios. By storing the results of the most computationally expensive parts of the problem, the repetition of time-consuming simulation steps can be avoided. Experimental validation shows that the irradiance calculated with the proposed approach is in good agreement with the results of a well-established irradiance simulation tool. Furthermore, the proposed approach is well-suited for the simulation of high-resolution spectral irradiance in scenarios with time-varying reflectance properties, particularly for bifacial and tandem photovoltaic modules in complex urban environments.
PROGRESS IN PHOTOVOLTAICS
(2023)
Article
Engineering, Multidisciplinary
Bart de Koning, Alexander Heemels, Aurele Adam, Matthias Moeller
Summary: Algorithmic differentiable ray tracing solves the problem of light propagation in an optical system and provides gradients of simulation results with respect to optical system parameters. By designing freeform lenses and utilizing optimization algorithms and neural networks, the distribution of light can be controlled effectively. The designed lenses have been validated and meet the requirements of optical design.
OPTIMIZATION AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Wonjun Lee, Piljoong Jeong, Hajin Choi, Jinwoo Kim, Bochang Moon
Summary: The research proposes a technique for estimating scene illumination through online learning to achieve visual consistency between virtual and real objects, capable of providing high-quality global illumination results in augmented reality.
Article
Optics
Yisen Cao, Yunhua Cao, Wenbo Li, Lu Bai, Zhensen Wu, Zhe Wang
Summary: This study utilized BRDF and the Monte Carlo method to examine the LRCS of a target scale model, demonstrating the results through data from a satellite scale model. Results indicate that non-uniform sampling can improve spatial distribution of scattering energy in the reverse ray tracing algorithm, based on the classification of different materials' roughness.
OPTICS COMMUNICATIONS
(2021)
Article
Computer Science, Software Engineering
Abhimitra Meka, Mohammad Shafiei, Michael Zollhofer, Christian Richardt, Christian Theobalt
Summary: This study introduces a real-time approach for decomposing monocular color videos into direct and indirect illumination components, which works for regular videos and produces coherent decomposition layers. By using sparsity priors and a new formulation based on non-linear equations, the estimation of direct and indirect illumination layers can be achieved efficiently, leading to improvements in both quality and runtime.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Software Engineering
K. Doi, Y. Morimoto, R. Tsuruno
Summary: The aim is to convert an object's appearance to an arbitrary colour while considering light scattering in the entire scene, known as global illumination. Existing methods cannot express global illumination effects, so two individual methods are proposed to achieve this by reproducing reflections in other objects with the converted colour.
COMPUTER GRAPHICS FORUM
(2021)
Article
Computer Science, Software Engineering
Nelson Max
Summary: This paper enhances the voxel-to-voxel radiance shooting, propagation, and scattering algorithm by optimizing storage and sampling methods, reducing memory requirements. The computation time is proportional to O(n(3)(log n)(3/2)) for a volume of n(3) voxels.
Article
Multidisciplinary Sciences
Marco Ernst, Georgia E. J. Conechado, Charles-Alexis Asselineau
Summary: Accurate modeling of bifacial illumination is crucial for predicting the energy yield of bifacial solar systems. We accelerated Monte Carlo ray tracing to improve simulation speed and achieved high accuracy. The influence of surrounding ground surfaces on rear irradiance was discovered, underlining the importance of considering the perimeter of large installations for accurate yield estimation.
Article
Computer Science, Software Engineering
Balazs Kovacs, Peter O'Donovan, Kavita Bala, Aaron Hertzmann
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2019)
Article
Computer Science, Software Engineering
Fujun Luan, Shuang Zhao, Kavita Bala, Ioannis Gkioulekas
ACM TRANSACTIONS ON GRAPHICS
(2020)
Article
Ophthalmology
Bei Xiao, Shuang Zhao, Ioannis Gkioulekas, Wenyan Bi, Kavita Bala
Article
Computer Science, Software Engineering
Scott Wehrwein, Kavita Bala, Noah Snavely
Summary: This article introduces a method to automatically normalize the pixel-space speed of different motions in a video to produce a seamless output with spatiotemporally varying framerate. The approach involves analyzing scenes at different timescales to isolate and analyze motions occurring at vastly different rates, providing a novel way to compactly visualize changes occurring in a scene over a broad range of timescales.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Fujun Luan, Shuang Zhao, Kavita Bala, Zhao Dong
Summary: This paper introduces a new analysis-by-synthesis technique capable of producing high-quality reconstructions through robust optimization and physics-based rendering. By unifying the optimization of geometry and reflectance using image gradients, the method obtains physically accurate gradient estimates. Utilizing shape and material priors along with coarse-to-fine optimization, the technique demonstrates improvements in reconstruction quality compared to previous methods through both synthetic and real input images.
COMPUTER GRAPHICS FORUM
(2021)
Editorial Material
Computer Science, Artificial Intelligence
Yoav Y. Schechner, Kavita Bala, Ori Katz, Kalyan Sunkavalli, Ko Nishino
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Utkarsh Mall, Kavita Bala, Tamara Berg, Kristen Grauman
Summary: Fashion sense can reveal information about geographical regions. We propose a method to create underground neighborhood maps of cities by analyzing how people dress, and present the promising results of our method in experiments with multiple cities.
2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022)
(2022)
Proceedings Paper
Automation & Control Systems
Hadi AlZayer, Hubert Lin, Kavita Bala
Summary: Researchers propose a novel approach for an autonomous agent to capture aesthetic photos using a data-driven aesthetics estimator and reinforcement learning framework. They demonstrate the system's capability in simulation and real world environments.
2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely
Summary: PhySG is an end-to-end inverse rendering pipeline that reconstructs geometry, materials, and illumination from images. It uses mixtures of spherical Gaussians and MLPs to represent specular BRDFs and geometry. The method is shown to work on scenes with challenging reflectance characteristics.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Hubert Lin, Mitchell van Zuijlen, Sylvia C. Pont, Maarten W. A. Wijntjes, Kavita Bala
Summary: Data augmentation is a common strategy to improve model robustness, where style transfer and paintings have different impacts on model robustness. Research shows that learning from paintings can enhance model robustness.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021
(2021)
Article
Business
Rachel Rose Getman, Denise Nicole Green, Kavita Bala, Utkarsh Mall, Nehal Rawat, Sonia Appasamy, Bharath Hariharan
Summary: Fashion studies scholars need to consider new methods to interpret large data sets in the digital age, where computational methods such as computer vision and machine learning can help analyze the visual forms of big data. Through collaborative research, historians and computer scientists explore the potential of studying fashion trends through big data sets, using high-level concept recognition to map fashion trends.
CLOTHING AND TEXTILES RESEARCH JOURNAL
(2021)
Proceedings Paper
Automation & Control Systems
Yutao Han, Hubert Lin, Jacopo Banfi, Kavita Bala, Mark Campbell
2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)
(2020)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Chengqian Che, Fujun Luan, Shuang Zhao, Kavita Bala, Ioannis Gkioulekas
2020 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL PHOTOGRAPHY (ICCP)
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala
2018 INTERNATIONAL CONFERENCE ON 3D VISION (3DV)
(2018)