Searched for: contributor%3A%22Eisemann%2C+E.+%28mentor%29%22
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de Haas, Lyanne (author)
master thesis 2024
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Taklimi, Sam (author)
The objective of this project is to train a model that transforms a tree with its foliage into only its branch structure. This is achieved by employing machine-learning techniques, specifically Generative Adverserial Networks (GANs). By utilizing the proposed method, a predictive model is built that automatically minimizes its own error function...
bachelor thesis 2024
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Mozafari, Erfan (author)
The most established and widely used methods for analysing tree images for tasks such as geometry analysis, segmentation and classification often rely on pixels. In this paper, the applicability of analyzing tree geometry based on a graph representation rather than a pixel-based approach is pursued. To do so, 2D renders of different species of...
bachelor thesis 2024
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Manda, Sebastian (author)
Trees are essential components of both real and digital environments. Therefore, it is important to have 3D models of trees that are of high quality and computationally efficient. One way to achieve this is by compressing a high-quality model using billboard rendering, which involves partitioning the tree into multiple planes to produce a...
bachelor thesis 2024
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Sahay, Shashwat (author)
L-Systems allow for the efficient procedeural generation of trees to be used for rendering in video games and simulations. Currently, however, it is difficult to engineer grammars that mimic the behaviours of real life trees in 3 dimensions. To be able to deduce them, the skeleton of a tree can be used to train a model and generate an L-system...
bachelor thesis 2024
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Zeilstra, Mika (author)
Computer-generated images of black holes are invaluable tools for science, teaching, and entertainment. Nevertheless, up until recently, real-time imagery of situations with extreme space-time curvature were not possible. The paper Interactive Black-Hole Visualization by Verbraeck and Eisemann changed this. <br/>This work follows their line of...
master thesis 2023
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Ren, Hao (author)
The phenomenon of one element moving and progressively overlaying another is common in nature, such as waves swashing and backwashing, or eyelids moving over eyeballs while blinking. Folding Texture, which was proposed by Thorben, can simulate this texture “folding” visual effect in real-time without changing geometry.<br/>However, to date, no...
master thesis 2023
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Găleşanu, Matei (author)
Neural Radiance Fields (NeRF) and their adaptations are known to be computationally intensive during both the training and the evaluating stages. Despite being the end goal, directly rendering a full-resolution representation of the scene is not necessary and not very practical for scenarios like streamed applications. Our goal is to design a...
bachelor thesis 2023
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Toader, Mihnea (author)
Neural radiance fields (NeRF) based solutions for novel view synthesis can achieve state of the art results. Recent work proposes models that take less time to render, need less training data or take up less space. However, few papers explore the use of NeRFs in classic rendering scenarios such as rasterization, which could contribute to wider...
bachelor thesis 2023
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Groenendijk, Jurre (author)
With the current state-of-the-art research, exporting a NeRF to a mesh has the side effect of having to evaluate a Multi Layer Perceptron at render-time, causing a significant decrease in performance. We have found a way to use K-Means clustering to pre-compute values for this MLP, storing them in multiple octahedron maps for the GPU to fetch...
bachelor thesis 2023
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Szilvásy, Medárd (author)
Radiance fields are a promising alternative to conventional 3D representations in the domain of novel view synthesis, with recent research achieving truly impressive photorealistic view synthesis results. In this paper, we deal with the concept of non-photorealistic rendering in the context of radiance fields, for generating more stylistic...
bachelor thesis 2023
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Kroon, Mirco (author)
Simulating lighting is one of the most important parts of rendering 3D scenes. While lighting coming directly from a light source is easy to simulate in real-time, indirect illumination is more difficult. One of the methods used to convincingly approximate indirect illumination is ambient occlusion, where the brightness of objects is reduced...
master thesis 2023
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Kuijpers, Mika (author)
Voxels are cells on a 3D regular grid. Voxel-based scenes have many applications, including frequent use in simulations or games. Over the years, the field of high-resolution voxel scenes has progressed significantly, allowing for compressing and real-time editing of high-resolution scenes. This possibility of editing high-resolution scenes led...
master thesis 2023
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Hoveling, Vera (author)
This document describes the work performed the master thesis on a new approach to visualisation for music. We investigate how visualisation of (latent) characteristics of a song can improve user-guided search and exploration. The need for such visualisation is described, followed by a formulation of the research questions, literature reviews,...
master thesis 2023
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Flipse, Delano (author)
The placement of a subwoofer has significant impact on the quality of its sound reproduction. This paper present a method to optimise subwoofer placement in a room. Resonances caused by room boundaries (called "room modes") cause localised peaks and lows for specific lower frequencies. The goal is to minimize the simulated frequency response...
bachelor thesis 2023
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Azimullah, Joshua (author)
A novel approach for determining the optimal location of a sound source within an acoustic environment is proposed. This approach involves the application of Importance Sampling to improve the efficiency of the existing method of acoustic ray-tracing for finding the frequency response at various listening locations. The results of this study do...
bachelor thesis 2023
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Scholtens, Ekko (author)
In this paper, we present a study to improve using neural networks for acoustic reflection localization. Our study focuses on the reimplementation of the proposed neural network model by Bologni et al. and investigates the effect of adding a third microphone to the microphone array. We reimplemented and trained the neural network using the same...
bachelor thesis 2023
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Korpel, Dennis (author)
The human visual system perceives 3D depth by observing how much points shift between the left eye and right eye. Toon-shaded renders of 3D models often have untextured surfaces with discretized shading, and these flat featureless areas give the eyes few reference points to perceive 3D depth. The primary depth cues come from contour lines and...
master thesis 2022
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van Geffen, Hunter (author)
t-distributed stochastic neighbor embedding (t-SNE) is a dimensionality reduction technique able to embed high-dimensional data into 2 or 3 dimensions for the purpose of visualization, and has proven to be useful in various applications, such as single-cell analysis. Normally t-SNE embeds into Euclidean space, but recent work shows that...
master thesis 2022
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Zaidi, Amir (author)
In the field of computer vision, the difficulty of processing the illumination in an arbitrary scene creates complications for a machine's understanding of the scene. Computer vision algorithms commonly use input images acquired by a camera, where the only measured quantity is the amount of light the camera's sensor receives without any...
master thesis 2022
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