Essays about: "Neural Textures"

Showing result 1 - 5 of 9 essays containing the words Neural Textures.

  1. 1. 3D Texture Synthesis Using Graph Neural Cellular Automata

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yitao Xu; [2023]
    Keywords : 3D Texture Synthesis; Graph Neural Cellular Automata; Image-guided Synthesis; Text-guided Manipulation; Canvas Lärplattform; Dockerbehållare; Prestandajustering 3D-textursyntes; Graf Neurala Cellulära Automater; Bildledd Syntes; Textledd Manipulation;

    Abstract : In recent years, texture synthesis has been a heated topic in computer graphics, and the development of advanced algorithms for generating high-quality 3D textures is an area of active research. A recently proposed model, Neural Cellular Automata, can synthesize realistic 2D texture images or videos. READ MORE

  3. 2. Humans in the wild : NeRFs for Dynamic Scenes Modeling from In-the-Wild Monocular Videos with Humans

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sanvito Alessandro; [2023]
    Keywords : Clothed Human Reconstruction; Neural Rendering; Neural Radiance Fields; Scene Reconstruction; Computer Vision; Clothed Human Reconstruction; Neural Rendering; Neural Radiance Fields; Scene Reconstruction; Computer Vision;

    Abstract : Recent advancements in computer vision have led to the emergence of Neural Radiance Fields (NeRFs), a powerful tool for reconstructing photorealistic 3D scenes, even in dynamic settings. However, these methods struggle when dealing with human subjects, especially when the subject is partially obscured or not completely observable, resulting in inaccurate reconstructions of geometries and textures. READ MORE

  4. 3. Segmentation and synthesis of pelvic region CT images via neural networks trained on XCAT phantom data

    University essay from Linköpings universitet/Datorseende

    Author : HANG ZHAO; [2021]
    Keywords : ;

    Abstract : Deep learning methods for medical image segmentation are hindered by the lack of training data. This thesis aims to develop a method that overcomes this problem. Basic U-net trained on XCAT phantom data was tested first. The segmentation results were unsatisfactory even when artificial quantum noise was added. READ MORE

  5. 4. Detecting Deepfakes and Forged Videos Using Deep Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Emil Johansson; [2020]
    Keywords : Image Analysis; Deepfake; Deep Learning; Neural Networks; FaceSwap; Face2Face; Neural Textures; Mathematics and Statistics;

    Abstract : Over just a few years, methods to manipulate videos have become so sophistica- ted that even someone without much expertise or computational resources can forge videos inseparable from pristine ones to the human eye. These methods can for instance insert a person in a video or manipulate their lip movements to make them say anything of the manipulator’s liking. READ MORE

  6. 5. Graphical Glitch Detection in Video Games Using CNNs

    University essay from KTH/Matematisk statistik

    Author : Carlos García Ling; [2020]
    Keywords : Convolutional Neural Networks; Glitch Detection; Computer Vision; Supervised Anomaly Detection; Deep Learning; Konvolutionnella nervnätverk; Glitch Detection; Datorsyn; Övervakad avvikelse av anomali; Djup lärning;

    Abstract : This work addresses the following research question: Can we detect videogame glitches using Convolutional Neural Networks? Focusing on the most common types of glitches, texture glitches (Stretched, Lower Resolution, Missing, and Placeholder). We first systematically generate a dataset with both images with texture glitches and normal samples. READ MORE