Deepfake | Tenshi

The Tenshi Deepfake Phenomenon: Understanding the Intersection of AI, Anime, and Ethics

The drafted paper below explores the intersection of livestreaming culture, the rise of open-source AI face-swapping, and the unique online harassment risks faced by creators. tenshi deepfake

The rapid advancement of Generative Adversarial Networks (GANs) has facilitated the creation of hyper-realistic synthetic media, colloquially known as "Deepfakes." This paper examines the "Tenshi" architecture, a specific implementation of autoencoder-based face-swapping technology. Unlike earlier low-resolution models, Tenshi utilizes a high-resolution decoder architecture and advanced perceptual loss functions to mitigate temporal flickering and occlusion artifacts. This study analyzes the architecture’s shift from traditional pixel-space comparison to feature-space learning, evaluates its performance against standard benchmarks (FID and LFD), and discusses the ethical implications of such high-fidelity synthesis tools in the context of digital forensics and misinformation. the rise of open-source AI face-swapping