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.
Results
Showing 1 to 20 of 58 for “"Inpainting"”.
-
Predicting saliency by learning inpainting error
… insofar as this can benefit from learning image inpainting error. We address this problem by presenting a novel approach to predict saliency maps. The first model learns which parts of the image are most difficult to predict by applying an inpainting algorithm on a regular grid and measuring the …
-
Reducing spectral reflections through image inpainting
… and morphological dilation, and finally the inpainting of the specular regions. This method improves on existing single pixel methods by incorporating both color and texture infilling of the specular reflections. It also works on images with no special setup or preparation.
-
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 …
-
A Novel Inpainting Framework for Virtual View Synthesis
… a visually plausible way, in a process known as inpainting. This is challenging because the missing information is generally unknown and the hole-regions can be large. Recently depth-based inpainting techniques have been proposed to address this challenge and while these generally perform better …
-
Segment-based image matting using inpainting to resolve ambiguities
… a new general approach that uses Digital Inpainting - the technique of restoring defective areas in digital images - to resolve ambiguous areas in the alpha mattes. This thesis demonstrates that the combination of these ideas improves both the efficiency and accuracy of Image Matting. From …
-
Deep Learning Image Augmentation using Inpainting with Partial Convolution and GANs
… we implemented two deep learning techniques: (1) inpainting using partial convolution and (2) generative adversarial network (GAN) to generate synthetic data to train deep learning image classifiers. We show that the addition of synthetic training images dramatically improved the accuracies of our …
-
Image Restoration using Automatic Damaged Regions Detection and Machine Learning-Based Inpainting Technique
… images of cracked paintings. In cases when inpainting mask generation cannot be completely automatic, our detection algorithm facilitates precise mask creation, particularly useful for images containing damage that is tedious to annotate or difficult to geometrically define. The main …
-
Improving Controllability in Diffusion-Based Image Inpainting through Structured Workflows and Preference-Based Model Adaptation
… 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 address this, an end-to-end prompt-based contextual virtual staging …
-
Structure guided image restoration : a deep learning approach
… to address two image restoration problems: image inpainting and image super-resolution. We develop a new approach for image inpainting that does a better job of reproducing missing regions exhibiting fine details. Furthermore, we extend this method to image superresolution by reformulating the …
-
Generative methods for image synthesis with applications to medical imaging
… of medical images. We also present a model for inpainting of images. Finally, we introduce a re-parameterization model that translates one image modality to another modality with paired parameters. The proposed methods are evaluated qualitatively and quantitatively. Our results show that our …
-
Optimization Techniques for Image Restoration
… method. Furthermore, a new model for digital inpainting is proposed based on the nonstandard diffusion model. Numerical results illustrate the effectiveness of both the denoising and inpainting models in image restoration.
-
Real-Time Object Removal in Augmented Reality
… reality used digital replacement techniques, inpainting, and multi-view homographies. However, few used a virtual representation of the real environment, limiting their domains to planar environments.</p> <p>This thesis provides a framework to achieve real-time diminished reality on an …
-
OPTIMIZATION OF PHOTOGRAMMETRIC 3D ASSETS
… 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 coherent, overcoming limitations of alternative texture inpainting strategies that operate in screen-space or global …
-
Novel higher order regularisation methods for image reconstruction
… reduced or totally eliminated. Also in image inpainting the introduction of higher order derivatives in the regulariser turns out to be crucial to achieve interpolation across large gaps. First, we introduce, analyse and implement a combined first and second order regularisation method with …
-
Example based texture synthesis and quantification of texture quality
… also proposes an improved algorithm for image inpainting which yields better results than existing methods. Firstly, this dissertation presents a methodology which uses a HSI (hue, saturation, intensity) color model in conjunction with the hybrid approach to improve the quality of the …
-
High-resolution virtual try-on with garment extraction using generative adversarial networks
… from one, refines it using context-aware image inpainting, and subsequently transfers it onto the second image's subject. The methodology incorporates various off-the-shelf models, notably Part Grouping Network (PGN), Densepose, and OpenPose for pre-processing. A state-of-the-art context-aware …
-
Learning to handle occlusion for motion analysis and view synthesis
… view synthesis for 3D photography. We propose an inpainting method that leverages local color and depth context for novel view synthesis. We validate the proposed inpainting approach with a series of quantitative and qualitative experiments, and demonstrate promising results in predicting …
-
Understanding the Robustness of Vision Models and Humans to Occlusion-Based Corruptions
… approaches: finetuning using occluded images and inpainting occluded pixels before classification. We discover that finetuning leads to a considerable increase in accuracy, but we suspect that finetuned models are relying on a different set of features. Inpainting helps significantly for mid- and …
-
On the Relevance of Temporal Information in Multimedia Forensics Applications in the Age of A.I.
… and computational efficiency. Regarding video inpainting localization, a novel dataset of videos inpainted and post-processed with Temporal Consistency Networks will be introduced, and we will present our solution to improve video inpainting localization by taking into account spatial and …
Page 1 of 3