Ai-Generated Image and Video Synthesis: Deep Learning Models, Applications, and Ethical Implications in Visual Media Creation
暫譯: AI 生成的影像與影片合成:深度學習模型、應用及視覺媒體創作中的倫理影響

Mewada, Arvind, Ansari, Mohd Aquib, Ahmad, Shahnawaz

  • 出版商: Wiley
  • 出版日期: 2026-08-17
  • 售價: $5,160
  • 貴賓價: 9.5$4,902
  • 語言: 英文
  • 頁數: 192
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1394403119
  • ISBN-13: 9781394403110
  • 相關分類: DeepLearning
  • 尚未上市,無法訂購

商品描述

Technical depth and ethical frameworks for AI visual media synthesis

Generative AI models for visual media are transforming virtual reality and biomedical imaging while raising urgent questions about deepfakes and misinformation. AI-Generated Image and Video Synthesis addresses both dimensions. A team of researchers provide algorithmic foundations alongside detection strategies, authentication methods, and regulatory analysis.

Coverage spans text-to-image generation, image-to-image translation, video synthesis, neural rendering, and 3D-aware generation. The book examines AI applications in CT, MRI synthetic data augmentation, and virtual staining for biomedical contexts. Case studies explore AI-assisted filmmaking, music videos, and style transfer. A dedicated chapter forecasts emerging trends including diffusion-transformer hybrids and autonomous generative agents.

Readers will also find:

  • Comparative analyses of generative models including GANs, diffusion models, and transformers with implementation guidance and code repositories for hands-on experimentation
  • Deepfake detection strategies and digital content authentication techniques addressing misinformation, intellectual property rights, and emerging regulatory frameworks worldwide
  • Industry case studies demonstrating real-world deployments in creative industries, surveillance systems, education, and cultural preservation applications
  • Biomedical imaging applications covering synthetic data generation for CT and MRI, virtual staining techniques, and data augmentation strategies
  • Practical toolkits and online resources supporting implementation and evaluation of AI synthesis techniques across professional and academic contexts

Designed for AI researchers, computer vision engineers, and graduate students studying deep learning and image processing, this book connects theoretical principles with practical deployment. The combination of technical depth, application coverage, and ethical analysis makes it a comprehensive resource for professionals navigating AI-generated visual media.

商品描述(中文翻譯)

人工智慧視覺媒體合成的技術深度與倫理框架

生成式人工智慧模型正在改變虛擬實境和生物醫學影像,同時引發有關深偽技術和錯誤資訊的緊迫問題。AI生成的影像與影片合成 同時針對這兩個面向進行探討。一組研究人員提供了算法基礎,並提出檢測策略、驗證方法和監管分析。

內容涵蓋文本到影像生成、影像到影像轉換、影片合成、神經渲染和3D感知生成。本書檢視人工智慧在CT、MRI合成數據增強和生物醫學背景下的虛擬染色應用。案例研究探討了人工智慧輔助的電影製作、音樂影片和風格轉換。一個專門的章節預測了新興趨勢,包括擴散-變壓器混合模型和自主生成代理。

讀者還將發現:


  • 生成模型的比較分析,包括GANs、擴散模型和變壓器,並提供實作指導和代碼庫以便進行實驗

  • 針對錯誤資訊、智慧財產權和全球新興監管框架的深偽檢測策略和數位內容驗證技術

  • 行業案例研究,展示在創意產業、監控系統、教育和文化保存應用中的實際部署

  • 生物醫學影像應用,涵蓋CT和MRI的合成數據生成、虛擬染色技術和數據增強策略

  • 實用工具包和線上資源,支持在專業和學術環境中實施和評估人工智慧合成技術

本書旨在為人工智慧研究人員、計算機視覺工程師和研究深度學習及影像處理的研究生提供資源,將理論原則與實際部署相連結。技術深度、應用範疇和倫理分析的結合,使其成為專業人士在導航人工智慧生成的視覺媒體時的全面資源。

作者簡介

Arvind Mewada, PhD, is an Assistant Professor in the School of Computer Science Engineering and Technology at Bennett University, India. His research spans natural language processing, machine learning, and deep learning, with publications in Multimedia Tools and Applications and The Journal of Supercomputing.

Mohd. Aquib Ansari, PhD, is an Assistant Professor at Galgotias University, India. A UGC-NET qualified scholar and M.Tech. Gold Medalist, his research focuses on computer vision, image processing, and human-computer interaction, with advances in surveillance systems and gesture recognition.

Shahnawaz Ahamad, PhD, is an Assistant Professor at Bennett University, India. His expertise includes cloud computing security and machine learning. He reviews for IEEE Access, Elsevier, Springer, and Wiley, and is the author of Cloud Computing: An Industrial Approach.

Nagendra Singh, PhD, is Principal of Trinity College of Engineering and Technology in India. He has published over 42 international journal articles, 9 conference papers, 3 Indian patents, and 4 books, contributing actively to IEEE and Scopus-indexed publications.

作者簡介(中文翻譯)

阿爾文·梅瓦達 (Arvind Mewada), PhD, 是印度班奈特大學 (Bennett University) 計算機科學工程與技術學院的助理教授。他的研究範疇包括自然語言處理、機器學習和深度學習,並在《多媒體工具與應用》(Multimedia Tools and Applications) 和《超級計算期刊》(The Journal of Supercomputing) 發表過論文。

穆罕默德·阿基布·安薩里 (Mohd. Aquib Ansari), PhD, 是印度加爾戈提亞大學 (Galgotias University) 的助理教授。他是一位通過UGC-NET考試的學者及M.Tech.金獎得主,研究重點在於計算機視覺、影像處理和人機互動,並在監控系統和手勢識別方面有所進展。

沙哈納瓦茲·阿哈馬德 (Shahnawaz Ahamad), PhD, 是印度班奈特大學 (Bennett University) 的助理教授。他的專長包括雲計算安全和機器學習。他為IEEE Access、Elsevier、Springer和Wiley進行審稿,並著有《雲計算:產業方法》(Cloud Computing: An Industrial Approach)。

納根德拉·辛格 (Nagendra Singh), PhD, 是印度三位一體工程與技術學院 (Trinity College of Engineering and Technology) 的校長。他已發表超過42篇國際期刊文章、9篇會議論文、3項印度專利和4本書籍,並積極參與IEEE和Scopus索引的出版物。