2023
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Recent Submissions
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Physically Based Modeling of Micro-Appearance
(University of Bonn, 2023-07-11)This dissertation addresses the challenges of creating photorealistic images by focusing on generating and rendering microscale details and irregularities, because a lack of such imperfections is usually the key aspect of ... -
Hierarchical Gradient Domain Vector Field Processing
(Johns Hopkins University, 2023-07-31)Vector fields are a fundamental mathematical construct for describing flow-field-related problems in science and engineering. To solve these types of problems effectively on a discrete surface, various vector field ... -
Inverse Shape Design with Parametric Representations: Kirchhoff Rods and Parametric Surface Models
(Institute of Science and Technology Austria, 2023-05)Inverse design problems in fabrication-aware shape optimization are typically solved on discrete representations such as polygonal meshes. This thesis argues that there are benefits to treating these problems in the same ... -
Deep Learning with Differentiable Rasterization for Vector Graphics analysis
(2023-11)Images and 2D geometric representations are two different ways of representing visual information. Vector graphics/2D geometric representations are widely used to represent patterns, fonts, logos, digital artworks, and ... -
Recognition and representation of curve and surface primitives in digital models via the Hough transform
(2023-01-12)Curve and surface primitives have an important role in conveying an object shape and their recognition finds significant applications in manufacturing, art, design and medical applications. When 3D models are acquired by ... -
Progressive Shape Reconstruction from Raw 3D Point Clouds
(Université Côte d’Azur, 2023-03-27)With the enthusiasm for digital twins in the fourth industrial revolution, surface reconstruction from raw 3D point clouds is increasingly needed while facing multifaceted challenges. Advanced data acquisition devices makes ... -
Processing Freehand Vector Sketches
(University of British Columbia, 2023-06-22)Freehand sketching is a fast and intuitive way for artists to communicate visual ideas, and is often the first step of creating visual content, ranging from industrial design to cartoon production. As drawing tablets and ... -
Optimization of Photogrammetric 3D Assets
(Università degli Studi di Milano, 2023)The photogrammetric 3D reconstruction pipeline has emerged in recent years as the prominent technology for a variety of use cases, from heritage documentation to the authoring of high-quality photo-realistic assets for ... -
Path from Photorealism to Perceptual Realism
(2022-09)Photorealism in computer graphics --- rendering images that appear as realistic as photographs --- has matured to the point that it is now widely used in industry. With emerging 3D display technologies, the next big challenge ... -
Fully Controllable Data Generation For Realtime Face Capture
(ETH Zurich, 2023-01-31)Data driven realtime face capture has gained considerable momentum in the last few years thanks to deep neural networks that leverage specialized datasets to speedup the acquisition of face geometry and appearance. However ... -
Machine Learning Supported Interactive Visualization of Hybrid 3D and 2D Data for the Example of Plant Cell Lineage Specification
(2023)As computer graphics technologies develop, spatial data can be better visualized in the 3D environment so that viewers can observe 3D shapes and positions clearly. Meanwhile, 2D abstract visualizations can present summarized ... -
Neural Mesh Reconstruction
(Simon Fraser University, 2023-06-16)Deep learning has revolutionized the field of 3D shape reconstruction, unlocking new possibilities and achieving superior performance compared to traditional methods. However, despite being the dominant 3D shape representation ... -
Scalable geometry processing for computer graphics applications
(2023-09-11)This thesis explores and investigates scalable solutions, grounded on geometry processing and differential geometry concepts, to different computer graphics tasks. My Ph.D. path gave me the opportunity to probe many research ... -
Self-Supervised Shape and Appearance Modeling via Neural Differentiable Graphics
(2023)Inferring 3D shape and appearance from natural images is a fundamental challenge in computer vision. Despite recent progress using deep learning methods, a key limitation is the availability of annotated training data, as ... -
New tools for modelling sensor data
(2023-06-30)The objective of this thesis is to develop a framework capable of handling multiple data sources by correcting and fusing them to monitor, predict, and optimize real-world processes. The scope is not limited to images but ... -
Computational Modeling and Design of Nonlinear Mechanical Systems and Materials
(2023)Nonlinear mechanical systems and materials are broadly used in diverse fields. However, their modeling and design are nontrivial as they require a complete understanding of their internal nonlinearities and other phenomena. ... -
Visual and multimodal perception in immersive environments
(2023-02-22)Through this thesis we use virtual reality (VR) as a tool to better understand human visual perception and attentional behavior. We leverage the intrinsic properties provided by VR in order to build user studies tailored ... -
Modeling and simulating virtual terrains
(2023-03-21)This PhD, entitled "Modeling and simulating virtual terrains" is related to digital content creation and geological simulations, in the context of virtual terrains. Real terrains exhibit landforms of different scales (namely ... -
Neural Networks for Digital Materials and Radiance Encoding
(2023-07)Realistic virtual scenes are becoming increasingly prevalent in our society, with a wide range of applications in areas such as manufacturing, architecture, fashion design, and entertainment, including movies, video games, ... -
Efficient and Expressive Microfacet Models
(Charles University, 2023)In realistic appearance modeling, rough surfaces that have microscopic details are described using so-called microfacet models. These include analytical models that statistically define a physically-based microsurface. ...
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