Article
Computer Science, Software Engineering
Stefan Pillwein, Johanna Kubert, Florian Rista, Przemyslaw Musialski
Summary: Elastic geodesic grids (EGG) are lightweight structures that approximate designer provided free-form surfaces. Decomposing surfaces into smaller patches is an effective strategy to tackle limitations with more sophisticated design surfaces. This structure is suitable for various purposes like free-form sub-structures, panels, sun and rain protectors, etc.
COMPUTERS & GRAPHICS-UK
(2021)
Article
Computer Science, Software Engineering
Hayam Abdelrahman, Yiying Tong
Summary: This study proposes a topology-aware geometric approach to compute the tightest loops around neck features on surfaces. The significance of neck features is measured through the evolution of critical points based on the distance function, and the detection process is accelerated through mesh simplification.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Software Engineering
Ziqi Wang, Peng Song, Mark Pauly
Summary: Assemblies are collections of parts joined together to achieve specific form and functionality. Designing assemblies is a complex task, as slight modifications in part geometry or joining methods can have global impacts. Computational design methods can optimize assemblies for fabricability, structural stability, reconfigurability, and tileability, leading to improved overall performance.
COMPUTER GRAPHICS FORUM
(2021)
Article
Computer Science, Software Engineering
Vojtech Krs, Radomir Mech, Mathieu Gaillard, Nathan Carr, Bedrich Benes
Summary: Procedural modeling has advanced with the introduction of PICO, which combines user and environmental constraints in a single framework through optimization. The PICO-Graph model allows for rapid generation of complex and varied geometries.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Magdalena Martinek, Philip Thiemann, Marc Stamminger
Summary: This paper proposes a novel data structure called Motion DAG for filtering animation sequences of objects in both spatial and temporal domains, which can significantly reduce memory consumption and render time.
COMPUTERS & GRAPHICS-UK
(2021)
Article
Computer Science, Software Engineering
Maximilian Reischl, Christian Knauer, Michael Guthe
Summary: The new approach proposed in this study utilizes pre-computed minimal distance fields for path finding in weighted graphs, aiming to find the shortest path by selecting the most promising minimal distance field at each node and switching between them. This method scales excellently for various topologies, graph sizes, and hardware specifications, maintaining a mean length error below 1% and reasonable memory consumption. By simplifying the structure and minimizing backtracking, the approach can be applied on massively parallel GPUs and other shared memory parallel architectures, further reducing the run time.
COMPUTERS & GRAPHICS-UK
(2022)
Article
Computer Science, Software Engineering
Kosuke Sasaki, Jun Mitani
Summary: In this paper, a simple method for simulating curved folds using a triangular mesh from its crease pattern is proposed. The method allows designers to quickly check the folded shape, providing practical value.
COMPUTERS & GRAPHICS-UK
(2022)
Article
Computer Science, Software Engineering
Chao Xu, Rui Wang, Shuang Zhao, Hujun Bao
Summary: The study presents a multi-scale hybrid model that combines the efficiency of traditional surface-based models with the rich details of micro-appearance models, aiming to enhance the rendering quality of thin fabrics. Additionally, a new algorithm is proposed to convert state-of-the-art micro-appearance models into the hybrid representation while preserving detailed appearance, which is demonstrated through integration into a real-time rendering system.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Editorial Material
Multidisciplinary Sciences
Jose Ignacio Rojas-Sola
Summary: In summary, the study of graphic communication techniques used by engineers, architects, and designers to express ideas and concepts is becoming more important. The correct interpretation of graphic language can help in developing skills for engineers or architects in training. Research in this area is valuable for finding improvements or new proposals that aid in a better understanding of these techniques.
Article
Computer Science, Software Engineering
Alejandro Graciano, Antonio J. Rueda, Adam Pospisil, Jiri Bittner, Bedrich Benes
Summary: QuadStack is a novel algorithm for volumetric data compression and direct rendering that achieves high compression rates and fast access performance by exploiting data redundancy in layered datasets. Its GPU implementation performs comparably with state-of-the-art algorithms, while maintaining significantly smaller memory footprint.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Chemistry, Analytical
Sang Il Park
Summary: This paper introduces a method for simulating the deformation of concrete surfaces due to weathering using an example-based approach. By utilizing standardized examples of concrete bricks collected from real-world environments, erosion can be analyzed and correlated with geometric features, allowing for the simulation of new weathering effects.
Article
Robotics
Ruoyu Wang, Yanfei Xue, Bharath Surianarayanan, Dong Tian, Chen Feng
Summary: We propose Concavity-induced Distance (CID) as a novel method to measure dissimilarity in unoriented point clouds. CID indicates the likelihood of points belonging to different convex parts of a shape represented by a point cloud. It benefits point cloud analysis without the need for meshing or normal estimation, and achieves comparable precision in point cloud instance segmentation and grouping quality in robotics applications. More information can be found on our project website: https://ai4ce.github.io/CID/.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Computer Science, Software Engineering
Hamish A. Carr, Gunther H. Weber, Christopher M. Sewell, Oliver Rubel, Patricia Fasel, James P. Ahrens
Summary: As data sets grow larger, automated data analysis and visualization become increasingly important. Trends in high performance computing systems require analysis algorithms to make effective use of combinations of massively multicore and distributed systems.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Artificial Intelligence
Zhe Chen, Shohei Nobuhara, Ko Nishino
Summary: We introduce a novel neural network-based BRDF model and a Bayesian framework for joint estimation of reflectance and natural illumination from a single image. By extracting the latent space of real-world reflectance and leveraging the structural bias of deep neural networks, we demonstrate efficient computation of joint estimation using stochastic gradient descent. Experimental results validate the accuracy of the invertible neural BRDF model and its usefulness in object inverse rendering.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Computer Science, Information Systems
Hojun Cha, Amit Bhardwaj, Seungmoon Choi
Summary: This paper proposes an improved data-driven method for modeling viscoelastic deformable objects, with greatly improved computational efficiency. By using fractional derivatives and regression forests for data-interpolation models, accurate modeling with reduced costs is achieved.
Article
Computer Science, Software Engineering
Omri Azencot, Maks Ovsjanikov, Frederic Chazal, Mirela Ben-Chen
ACM TRANSACTIONS ON GRAPHICS
(2015)
Article
Computer Science, Software Engineering
Moos Hueting, Maks Ovsjanikov, Niloy J. Mitra
ACM TRANSACTIONS ON GRAPHICS
(2015)
Article
Computer Science, Software Engineering
Etienne Corman, Maks Ovsjanikov, Antonin Chambolle
COMPUTER GRAPHICS FORUM
(2015)
Article
Computer Science, Software Engineering
Mathieu Carriere, Steve Y. Oudot, Maks Ovsjanikov
COMPUTER GRAPHICS FORUM
(2015)
Article
Computer Science, Software Engineering
V. Ganapathi-Subramanian, B. Thibert, M. Ovsjanikov, L. Guibas
COMPUTER GRAPHICS FORUM
(2016)
Article
Computer Science, Software Engineering
Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, Adrian Butscher, Leonidas Guibas
ACM TRANSACTIONS ON GRAPHICS
(2012)
Article
Computer Science, Software Engineering
Raif M. Rustamov, Maks Ovsjanikov, Omri Azencot, Mirela Ben-Chen, Frederic Chazal, Leonidas Guibas
ACM TRANSACTIONS ON GRAPHICS
(2013)
Article
Computer Science, Software Engineering
M. Ovsjanikov, M. Ben-Chen, F. Chazal, L. Guibas
COMPUTER GRAPHICS FORUM
(2013)
Article
Computer Science, Software Engineering
Maks Ovsjanikov, Quentin Merigot, Viorica Patraucean, Leonidas Guibas
COMPUTER GRAPHICS FORUM
(2013)
Article
Computer Science, Software Engineering
Omri Azencot, Steffen Weissmann, Maks Ovsjanikov, Max Wardetzky, Mirela Ben-Chen
COMPUTER GRAPHICS FORUM
(2014)
Proceedings Paper
Computer Science, Theory & Methods
Thomas Bonis, Maks Ovsjanikov, Steve Oudot, Frederic Chazal
COMPUTATIONAL TOPOLOGY IN IMAGE CONTEXT, CTIC 2016
(2016)
Proceedings Paper
Computer Science, Artificial Intelligence
Luca Castelli Aleardi, Alexandre Nolin, Maks Ovsjanikov
EXPERIMENTAL ALGORITHMS, SEA 2015
(2015)
Proceedings Paper
Computer Science, Artificial Intelligence
Fan Wang, Qixing Huang, Maks Ovsjanikov, Leonidas J. Guibas
2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)
(2014)
Proceedings Paper
Computer Science, Artificial Intelligence
Viorica Patraucean, Rafael Grompone von Gioi, Maks Ovsjanikov
2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW)
(2013)