Sökning: "diffusion models"

Visar resultat 1 - 5 av 185 uppsatser innehållade orden diffusion models.

  1. 1. Visualization and analysis of object states using diffusion models and PyTorch

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Christopher Nyberg; [2024]
    Nyckelord :;

    Sammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER

  3. 2. AI-based image generation: The impact of fine-tuning on fake image detection

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Nick Hagström; Anders Rydberg; [2024]
    Nyckelord :Fake image detection; LoRA; DreamBooth; Stable Diffusion; Image generation;

    Sammanfattning : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. LÄS MER

  4. 3. Matematiska modeller och datorberäkningar för ytdiffusion

    Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Jessica El-jabaoui; Felicia Hägerström; Christian Jenei; [2023-11-28]
    Nyckelord :Ytdiffusion; Krökningsflöde; Modifierade Allen-Cahn ekvationen; Geometriska flöden; Fasfält.;

    Sammanfattning : I detta arbete undersöks geometriska flöden och hur dessa kan implementeras numeriskt med fasfältsmodeller. Speciellt ligger fokus på ytdiffusion, som är ett geometriskt flöde där ändliga ytor i andra dimensionen konvergerar mot en cirkel och arean bevaras. LÄS MER

  5. 4. Improving echocardiogram view classification using diffusion models

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Luis Arevalo; Anouka Ranby; [2023-10-23]
    Nyckelord :Computer; science; computer science; engineering; project; artificial intelligence; machine learning; deep neural networks; diffusion models; synthetic data; echocardiogram classification;

    Sammanfattning : In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram views. LÄS MER

  7. 5. Image-driven simulation of brain tumors using a reaction-diffusion mathematical model

    Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknik

    Författare :Kristos Qiqi; [2023]
    Nyckelord :brain tumor; cancer; mathematical model; simulation; magnetic resonance images; hjärntumör; cancer; matematisk model; simulering; magnetresonanstomografi bilder;

    Sammanfattning : Brain tumors pose a big challenge in the field of neuro-oncology. Gliomas are the largest subgroup. Magnetic resonance imaging is a non-invasive tool for detecting and characterizing these tumors. Mathematical models, such as the reaction-diffusion equation, can be used for understanding the intricate behavior of gliomas. LÄS MER