Essays about: "3D shape generation"
Showing result 1 - 5 of 16 essays containing the words 3D shape generation.
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1. Procedural generation and weathering of building facades : Replicating shape and distribution of wear-and-tear on real-world building facades
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Manual modeling of building facades can be a cumbersome process. Instead, procedurally modeling building facades is a practical and quick way to achieve impressive visual results. This paper presents a method for prototyping 2D facades existing in a 3d environment, with the inclusion of shading-based procedural wear-and-tear. READ MORE
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2. Simulating metal ct artefacts for ground truth generation in deep learning.
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. READ MORE
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3. Deep Generative Modeling : An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Deep generative modeling refers to the process of constructing a model, parameterized by a deep neural network, that learns the underlying patterns and structures of the data generating process which produced the samples in a given dataset, in order to generate novel samples that resemble those in the original dataset. Deep generative models for 3D shape generation hold significant importance to various fields including robotics, medical imaging, manufacturing, computer animation and more. READ MORE
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4. Using a Deep Generative Model to Generate and Manipulate 3D Object Representation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing importance of 3D data in various domains, such as computer vision, robotics, medical analysis, augmented reality, and virtual reality, has gained giant research interest in generating 3D data using deep generative models. The challenging problem is how to build generative models to synthesize diverse and realistic 3D objects representations, while having controllability for manipulating the shape attributes of 3D objects. READ MORE
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5. Design of Nose-cone for Autonomous Underwater Vehicle
University essay from Lunds universitet/InnovationAbstract : The goal was to perform a feasibility study on an additive manufactured thermoplastic nose-cone hull design for an autonomous underwater vehicle SAM. Where feasibility includes the technical, economic and sustainable aspect in the analysis. READ MORE
