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 20 of 27 for “"image inpainting"”.
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Reducing spectral reflections through image inpainting
The goal of this thesis is to produce an image processing tool that could, with limited user interaction, significantly reduce spectral reflections. The resulting process can then be used by biological researchers in the process of cataloging and recognizing individual organisms via collected …
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Improving Controllability in Diffusion-Based Image Inpainting through Structured Workflows and Preference-Based Model Adaptation
… for improving controllability in diffusion-based image generation. The first addresses limitations of existing inpainting-based virtual staging methods, which can produce objects that are semantically inappropriate, visually unconvincing, or poorly matched to the surrounding environment. To …
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Predicting saliency by learning inpainting error
Understanding which parts of an image are most salient is an ongoing research problem in the field of computer vision. In this thesis, we consider the problem of saliency prediction insofar as this can benefit from learning image inpainting error. We address this problem by presenting a novel …
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Structure guided image restoration : a deep learning approach
Image restoration aims at recovery of degraded images and estimating the original. Over the past few years, computer vision research has been dominated by deep learning techniques in part due to advances in computing infrastructure, algorithms and image capturing devices. As a result, deep neural …
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Novel higher order regularisation methods for image reconstruction
… variation-based variational methods for digital image reconstruction. These methods are formulated in the context of Tikhonov regularisation. We focus on regularisation techniques in which the regulariser incorporates second order derivatives or a sophisticated combination of first and second …
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Shell-Based Geometric Image and Video Inpainting
The subject of this thesis is a class of fast inpainting methods (image or video) based on the idea of filling the inpainting domain in successive shells from its boundary inwards. Image pixels (or video voxels) are filled by assigning them a color equal to a weighted average of either their …
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Autoencoder-based image dimensionality reduction methods
In this thesis, we study how images can be represented in a more compact way that still captures their most important features and preserves the similarities and dissimilarities between the images. These compact representations of images, also known as ‘image encodings’, allow us to identify …
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Sparse Representations and Nonlinear Image Processing for Inverse Imaging Solutions
… applies sparse representations and nonlinear image processing to two inverse imaging problems. The first problem involves image restoration, where the aim is to reconstruct an unknown high-quality image from a low-quality observed image. Sparse representations of images have drawn a …
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Three ploys for robust co-generation with generative adversarial nets
… of missing data in tasks like super-resolution, image inpainting, etc., where we don’t know the missing part ahead of time. To address such applications it seems intuitive at first to search for that latent space sample which ‘best’ matches the observations. However, irrespective of the GAN loss, …
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Handling Invalid Pixels in Convolutional Neural Networks
… invalid. Invalid pixels can also be inside the image where they are referred to as holes in completion tasks like image inpainting. In this work, we look for a method that can handle both types of invalid pixels. We compare on the same test bench two methods previously used to handle invalid …
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Example based texture synthesis and quantification of texture quality
… generating a texture of arbitrary size, an input image from the real world is provided. This input image is used for the basis of generating large textures. Various methods based on the underlying pattern of the image have been used to create these textures; however, the problem of finding an …
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Blind regression : understanding collaborative filtering from matrix completion to tensor completion
… The result from real-world application of image inpainting demonstrates that our method is competitive with the state-of-the-art tensor factorization approaches in terms of predictive performance.
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OPTIMIZATION OF PHOTOGRAMMETRIC 3D ASSETS
… introduced when synthesizing the new texture images. Next, we design a method to address texturing defects. Our technique combines recent advancements in image inpainting achieved by modern CNN-based models with the definition of a local texture-space inpainting domain that is semantically …
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Image processing and synthesis: From hand-crafted to data-driven modeling
This work investigates image and video restoration problems using effective optimization algorithms. First, we study the problem of single image dehazing to suppress artifacts in compressed or noisy images and videos. Our method is based on the linear haze model and minimizes the gradient residual …
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Integration of Model- and Learning-based Methods in Image Restoration
… success of deep learning algorithms in image restoration tasks, there is growing interest in exploring how to combine the practical advantages of learning-based methods with the theoretical understanding that comes from model-based approaches. In fact, while deep learning methods often …
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Blind regression : nonparametric regression for latent variable models via collaborative filtering
… tensor completion algorithms when applied to image inpainting data. Lastly, we conclude this thesis by proposing various related directions for future research.
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High-resolution virtual try-on with garment extraction using generative adversarial networks
Image-based virtual try-on aims to depict an individual wearing a garment not originally worn by them. While existing literature predominantly focuses on garments from standalone images, this research addresses the use of images where the garment is already being worn by another individual. The …
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Foundations of Machine Learning: Over-parameterization and Feature Learning
… using it for matrix completion problems such as image inpainting and virtual drug screening. Additionally, we use the NTK connection to provide theoretical guarantees for deep neural networks. Namely, we construct interpolating infinitely wide and deep networks that are Bayes optimal, or …
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Functional regression models in the frame work of reproducing kernel Hilbert space
… problems. Several examples are presented for image denoising and image inpainting, which are competitive with the state of the art methods.</p>
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Satellite image cloud removal : learning within and beyond the sample
… a consequence, a large portion of the satellite imagery in the optical spectrum is hindered by the presence of clouds in the atmosphere, which obstruct a clear view of the ground. While it is difficult to prevent this issue at the acquisition stage, it may be possible to approach the problem from …
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