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 84 for “"image generation"”.
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Multi-Subject Image Generation
Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tuning, which is computationally intensive and hampers efficient deployment. Moreover, existing methods …
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Making image generation and manipulation simple and effective
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms
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Glass onion: Compositional text-to-image generation using diffusion models and LLMs
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms
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Social stereotypes in text-to-image generation: Examining user perceptions and debiasing strategies
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Analysis of loss functions in XVAE-GAN: A novel two-view image generation network
DSpace SAF Submission Ingestion Package generated from Vireo submission #14457 on 2020-02-28 at 17:35:35
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Modulation transfer function and the role of focal length of a photogrammetric camera in image generation.
… camera designs, all contributing factors in image generation must be qualitatively analyzed to obtain a precedence. This research investigates the role of focal length of a photogrammetric camera in image generation through the criterion of Modulation Transfer Function. A comparative study is …
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Towards a Unified Framework for Visual Recognition and Generation via Masked Generative Modeling
Recognition and generation are two key tasks in computer vision. However, recognition and generative models are typically trained independently, which ignores the complementary nature of the two tasks. In this thesis, we present a unified framework for visual data recognition and generation via …
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Leveraging the Latent Space for Model Understanding and Optimization
… performance on tasks such as classification or image generation. However, these models are typically limited by two key factors. First, models such as those used in tasks of text-to-image generation lack interpretation. Second, models that leverage the latent space to represent data struggle to …
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Imagine Yourself: Explorations in Fostering Personal Expression with Generative AI
… experience adapting off-the-shelf text-to-image generation technology to support young people creating personal representations and stories. Imagine Yourself combines OpenAI’s Dall-E 3 image generation technology with Scratch, a rich environment for young people to imagine and create …
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Physically based lighting calculations for computer graphics
Realistic image generation is presented in a theoretical formulation that builds from previous work on the rendering equation. Previous and new solution techniques for the global illumination are discussed in the context of this formulation.
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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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Model Acceleration for Efficient Deep Learning Computing
… many areas such as protein structure prediction, image/video synthesis, code generation, ChatBot, etc. However, their computation and memory costs grow dramatically. It makes deploying these foundation models on real-world applications difficult, especially for resource-constrained edge devices. …
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Constructing three-dimensional virtual spaces with the application of artificial intelligence
… a five-stage workflow combining text-to-image generation, image-to-3D reconstruction using Tencent Hunyuan3D 2.0, and manual optimization in Blender. The workflow was applied to architectural and sculptural landmarks to test rendering performance on a Meta Quest 3 headset. Results …
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Natural video synthesis with Generative Adversarial Networks
… the state of the art neural network models for image generation, but the use of GANs for video generation is still largely unexplored. This thesis introduces new GAN based video generation methods by proposing the technique of model inflation and the segmentation-to-video task. The model …
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Data-Efficient Bilingual Lexicon Induction with Pretrained Language Models
… learning framework for multilingual text-to-image generation (Chapter 6). In this application-oriented study, we demonstrate that translation-based approaches, again focusing on low-data setups, can yield strong cross-lingual transfer capabilities also in multilingual text-to-image …
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ASSESSMENT OF AI-GENERATED IMAGES USING COMPUTATIONAL METRICS AND HUMAN CENTRIC ANALYSIS
The rapid advancements in AI-generated models for image generation have transformed image creation from entertainment to e-commerce, making robust evaluation essential. We designed and statistically validated a human study for assessing the photorealism and image quality of AI-generated images. The …
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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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