Lightweight Generalized DeepFake Face Detection with WAVIE: Wavelet Augmented Vision Intermediate Embeddings

arXiv:2609.14437 · cs.CV, cs.AI · Submitted 2026-09-13 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-13

Updated: 2026-09-13

Comments: Accepted at the IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2026

Code: https://github.com/Kappuccino111/WAVIE-Master

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 19× in this paper · explained in 2 episodes
• Aggregation — 16× in this paper · explained in 1 episode
• Generalization — 14× in this paper · explained in 13 episodes
• AUROC — 13× in this paper · explained in 2 episodes
• Embeddings — 12× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Robustness — 7× in this paper · explained in 5 episodes
• Wavelet Transform — 5× in this paper · explained in 2 episodes
• Ablation Studies — 4× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Wavelet Augmented Vision Intermediate Embeddings — 3× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Agnostic Learning — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models