Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Pix2Pix"”.
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Generated Image Quality Assurance and Generative Adversarial Network Augmentation for Machine Learning
… Networks (GANs), pecifically focusing on the Pix2Pix architecture. The research addresses the critical challenges of improving image quality, optimizing hyperparameters, and detecting fake images generated by GANs, aiming to enhance the robustness and eliability of machine learning models. …
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Machine learning in housing design : exploration of generative adversarial network in site plan / floorplan generation
… type of Machine Learning algorithm called Pix2Pix to investigate what can and cannot be learned by a computer through Machine Learning, and to evaluate what Machine Learning means for architects. It concluded that Machine Learning cannot be a creative design agent, but can be a powerful …
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A Deep Learning Approach to Predict Full-Field Stress Distribution in Composite Materials
… are compared: fully convolutional generator and Pix2Pix translation. It is shown that both the utilized approaches can well predict the stress distributions at the designated loading stages with high accuracy.
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Machine Learning for 3D Visualisation Using Generative Models
… effects, by using a semi-supervised GANs model (Pix2pix) that is comprised of PatchGAN and conditional GAN which is then accompanied by a U-Net structure. Pix2pix had been chosen for this thesis for its ability for training as well as the quality of the output images. It is also different from …
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Machine Learning for 3D Visualisation Using Generative Models
… effects, by using a semi-supervised GANs model (Pix2pix) that is comprised of PatchGAN and conditional GAN which is then accompanied by a U-Net structure. Pix2pix had been chosen for this thesis for its ability for training as well as the quality of the output images. It is also different from …
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Estimation of Global Illumination using Cycle-Consistent Adversarial Networks
… scenes, while a comparative study with the Pix2Pix model highlights our approach's strengths in preserving fine visual details. Despite these advancements, we acknowledge the limitations posed by hardware constraints and dataset diversity, pointing towards areas for future improvement and …
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Toward reliable localization: exploring infrared fiducial markers and multi-imu fusion as alternative sensor modalities
… To further enhance detection accuracy, a Pix2Pix image-to-image translation model is used as a pre-processing step to remove thermal reflections from infrared imagery. This pre-processing improves input quality and supports a variety of marker designs. Separately, this work investigates …
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Using artificial intelligence to predict NDVI/NDRE from standard RGB aerial imagery
The student, Corey Davidson, submitted this Thesis for approval on 2021-07-05 at 17:13.