Essays about: "generative methods"

Showing result 1 - 5 of 122 essays containing the words generative methods.

  1. 1. Learning a Grasp Prediction Model for Forestry Applications

    University essay from Umeå universitet/Institutionen för fysik

    Author : Elias Olofsson; [2024]
    Keywords : Forwarder; Autonomous grasping; Deep learning; Multibody dynamics; Convolutional neural network;

    Abstract : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. READ MORE

  3. 2. Visualization and analysis of object states using diffusion models and PyTorch

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Christopher Nyberg; [2024]
    Keywords : ;

    Abstract : 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. READ MORE

  4. 3. Generative adversarial network for point cloud upsampling

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Edison Widell Delgado; [2024]
    Keywords : Point cloud upsampling; Generative adversarial network; GAN;

    Abstract : Point clouds are a widely used system for the collection and application of 3D data. But most timesthe data gathered is too scarce to reliably be used in any application. READ MORE

  5. 4. AI-based image generation: The impact of fine-tuning on fake image detection

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

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

    Abstract : 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. READ MORE

  6. 5. Exploring GANs to generate attack-variations in IoT networks

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Gustaf Bennmarker; [2023]
    Keywords : ;

    Abstract : Data driven IDS development requires a vast amount of data to be effective against future attacks and a big problem is the lack of available data. This thesis explores the use of GANs (Generative adversarial networks) in generating attack data that can be used as apart of a training set for an IDS to improve the robustness against adversarial attacks. READ MORE