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Generative Adversarial Networks and Image Synthesis

45 та иш

  1. DEEPFAKE CONTENT TYPES AND THEIR GENERATION METHODS

    Sarvar Maxmudjanov, Abbaz Primbetov, Ahadjon Naimov

    МақолаDigital Media Forensic DetectionOpen MIND20260 иқтибос
    ABI

  2. DEEPFAKE CONTENT TYPES AND THEIR GENERATION METHODS

    Sarvar Maxmudjanov, Abbaz Primbetov, Ahadjon Naimov

    МақолаDigital Media Forensic DetectionZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  3. DETECTION ALGORITHMS AND MODELS FOR SYNTHETICALLY GENERATED VISUAL MEDIA

    Doniyorbek Khakimbekov

    МақолаDigital Media Forensic DetectionZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  4. DETECTION ALGORITHMS AND MODELS FOR SYNTHETICALLY GENERATED VISUAL MEDIA

    Doniyorbek Khakimbekov

    МақолаDigital Media Forensic DetectionZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  5. DETECTION ALGORITHMS AND MODELS FOR SYNTHETICALLY GENERATED VISUAL MEDIA

    Doniyorbek Khakimbekov

    МақолаDigital Media Forensic DetectionZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  6. DETECTION ALGORITHMS AND MODELS FOR SYNTHETICALLY GENERATED VISUAL MEDIA

    Doniyorbek Khakimbekov

    МақолаDigital Media Forensic DetectionZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  7. Trained Persistent Memory for Frozen Encoder--Decoder LLMs: Six Architectural Methods

    Hong Jeong

    МақолаGenerative Adversarial Networks and Image SynthesisArXiv.org20260 иқтибос
    ABI

  8. Enhanced Facial Realism in Personalized Diffusion Models: A Memory-Optimized DreamBooth Implementation for Consumer Hardware

    Sandeep Gupta, Kanad Ray, Shamim Kaiser +2

    МақолаFace recognition and analysisAlgorithms20260 иқтибос
    ABI

  9. Scaling Motion Prediction for Autonomous Driving: From Large-Scale Datasets to Modern Learning Paradigms

    DANDU JAYABHARATH REDDY, ANVAR NURMUXAMMADOV, DILSHOD FARXODOV

    МақолаAutonomous Vehicle Technology and SafetyZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  10. Scaling Motion Prediction for Autonomous Driving: From Large-Scale Datasets to Modern Learning Paradigms

    DANDU JAYABHARATH REDDY, ANVAR NURMUXAMMADOV, DILSHOD FARXODOV

    МақолаAutonomous Vehicle Technology and SafetyZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  11. Real vs. Fake Face Classification Using Convolutional Neural Networks and TF-IDF

    Prashant Agrawal, Nodira Himmatova, Qandaharova Dilnoza Sattorovna +3

    МақолаFace recognition and analysis20260 иқтибос
    ABI

  12. Efficient Prediction of Real vs Fake Face using Transfer Learning and Deep Learning

    Dasari Yugandhar, L.Saravanan, Abrayev Bakhrom +3

    МақолаFace recognition and analysis20260 иқтибос
    ABI

  13. Relativistic kappa-Deformed Graph Autoencoders for Topological Confinement in Scale-Free Networks

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаAdvanced Graph Neural NetworksZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  14. Relativistic kappa-Deformed Graph Autoencoders for Topological Confinement in Scale-Free Networks

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаAdvanced Graph Neural NetworksZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  15. Relativistic kappa-Deformed Graph Autoencoders for Topological Confinement in Scale-Free Networks

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаAdvanced Graph Neural NetworksZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  16. VISION-LANGUAGE MODELS IN THE ERA OF MULTIMODAL FOUNDATION MODELS

    Begench Yegendurdiyevich Geldibayev, Xurshid Ilhamovich Toliyev

    МақолаMultimodal Machine Learning ApplicationsZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  17. VISION-LANGUAGE MODELS IN THE ERA OF MULTIMODAL FOUNDATION MODELS

    Begench Yegendurdiyevich Geldibayev, Xurshid Ilhamovich Toliyev

    МақолаMultimodal Machine Learning ApplicationsZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  18. OMNIS: Semantic RAN Slicing via Dynamic Split Neural Networks

    Langtian Qin, Ian Andrew Harshbarger, Leïla Nasraoui +2

    МақолаDomain Adaptation and Few-Shot LearningZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  19. OMNIS: Semantic RAN Slicing via Dynamic Split Neural Networks

    Langtian Qin, Ian Andrew Harshbarger, Leïla Nasraoui +2

    МақолаDomain Adaptation and Few-Shot LearningZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  20. Improving Object Re-identification of in Vision Transformers via Global-Local Integration: Examining the importance of additional tokens

    Dilafruz Fayziyeva

    ПрепринтGenerative Adversarial Networks and Image SynthesisSSRN Electronic Journal20260 иқтибос
    ABI