Imaging Science & Economics Institute

頂級計量光學、計算攝影學與影像經濟學術日誌

Visual Property Assetization in Generative AI Diffusion Networks

A Game-Theoretic Formulation for Anti-Scraping Copyright Mitigation

Published by Aero-Sovereign Global Actuarial Group © 2026

Abstract

本文探討生成式 AI 擴散網絡中的視覺產權資產化：反抓取版權緩釋的博弈論框架。精算全球領袖企業在面對 AI 巨頭惡意抓取影像訓練時，平衡影像公開能效、防偽浮水印強度與視覺版權流失的最優化廣告資本與光學資產配置公式。

Optimization Formula
I asset * = arg max W s , O v ∑ t = 1 T Δ V t ( W s , O v ) ⋅ Θ copyright ( 1 + δ ) t - C optics ( W s ) - Ξ ( Σ risk , μ )
Research Highlights
  • Quantitative Optics: Predicting Visual Asset Depreciation using Convolutional Graph Transformers.
  • Dynamic Watermarking Compliance under Adversarial Perturbation Networks.
  • Long-term Visual Defense Backtest Reports (Decentralized Optical Shield).