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 38 for “"image synthesis"”.
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Deep feature manipulation for image synthesis and restoration
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01
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Controlling Image Synthesis with Emergent and Designed Priors
Image synthesis has developed at an unprecedented pace over the past few years, giving us new abilities to create synthetic yet photorealistic content. Typically, unconditional synthesis takes in a tensor of random numbers as input and produces a randomly generated image that mimics real-world …
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Data-Efficient Learning in Image Synthesis and Instance Segmentation
… of data-efficient learning for the tasks of image synthesis and instance segmentation. We first propose a method of high-quality and diverse image generation from finetuning to only 5-100 images. Our method factors a pretrained model into a small but highly expressive weight space for …
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Generative Adversarial Network (GAN) for Medical Image Synthesis and Augmentation
Medical image processing aided by artificial intelligence (AI) and machine learning (ML) significantly improves medical diagnosis and decision making. However, the difficulty to access well-annotated medical images becomes one of the main constraints on further improving this technology. Generative …
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Generative methods for image synthesis with applications to medical imaging
… significant advancement in the field of medical image synthesis for diagnostic and analytical improvements. Generative methods for image synthesis have been an active area of research in recent years. In this thesis, we explore the use of a hybrid model of generative adversarial networks (GANs) …
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Concepts from unclear textual embeddings for text-to-image synthesis
Automatically generating images based on a natural language description is a challenging problem with several key applications in the fields of retail, marketing, education and entertainment. In the last few years, some progress has been made in this direction specifically by using Generative …
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Novel statistical multiresolution techniques for image synthesis, discrimination, and recognition
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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Learning distributions of transformations from small datasets for applied image synthesis
… this thesis, we investigate two applications of image synthesis using small datasets. First, we demonstrate how to use image synthesis to perform data augmentation, enabling the use of supervised learning methods with limited labeled data. Data augmentation -- typically the application of simple, …
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Learning controllable visual representations: advancing spatial and 3D primitive guidance for image synthesis
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms
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The Development of a Small Scale Radio Astronomy Image Synthesis Array for Research in Radio Frequency Interference Mitigation
Radio astronomy synthesis imaging arrays are composed of many parabolic reflector antennas. These antennas are designed to be extremely sensitive to detect faint emissions from astronomical sources. Unfortunately, this also makes them susceptible to radio frequency interference (RFI) from man made …
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Spline wavelet image coding and synthesis for a VLSI based difference engine
The efficiency of an image compression/synthesis system based on a spline multi-resolution analysis (MRA) is investigated. The proposed system uses a quadratic spline wavelet transform combined with minimum-mean squared error vector quantization to achieve image compression. Image synthesis is …
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The Area Sampling Machine
Tracing a ray in a typical image synthesis system accomplishes two tasks: it samples in the ray direction for a visible object, and then determines the shading at that sampled point. The sampling process can be thought of as a visibility test along the path of the ray having zero cross sectional …
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Learning for Visual Synthesis and Transformation
Visual synthesis is one of the most fundamental problems in computer vision and artificial intelligence. Visual synthesis aims to create pixel-level data (e.g., images and videos) based on descriptions such as texts, noise, semantic annotations and images. Recently, deep generative learning has …
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Interactive rendering techniques for focus+context visualization of 3D geovirtual environments
… of weaknesses such as occlusions, cluttered image contents, and partial screen-space usage. To overcome these limitations and, thus, to facilitate the effective communication of geo-information, principles of focus+context visualization can be used for the design of real-time 3D rendering …
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Controllable Visual Synthesis
… over the past years. It has shown remarkable image generation improvement from low-quality, pixelated images with limited details to highly realistic images with fine details that can often be mistaken for real images. However, the traditional pipeline of rendering an image in computer …
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View synthesis for depth from motion 3D x-ray imaging.
… some of the X-ray sensor views with synthetic images. If sufficiently high quality synthetic images can be generated then intermediary X-ray sensors can be removed to minimise the hardware requirements and improve the commercial viability of the KDEX technique. Existing image synthesis …
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Deep Learning-Based Synthesis of Surgical Hyperspectral Images
… frameworks for HSI and proposes a two-step image generation pipeline to synthesize hyperspectral tissue images. To validate the image generation pipeline, spectral correctness and textural realism were assessed both qualitatively and quantitatively. Results of the textural Kernel Inception …
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Trajectory design and control for formation flying spaceborne interferometers
… interferometers to successfully synthesize images. Assuming optimal imaging configurations that satisfy astronomical requirements have been selected, a two-step approach is taken to satisfy these requirements: (1) develop a framework to man-age control effort among different satellites …
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