Cross-modal Translation via Conditional Latent Denoising for Video Deepfake Detection
This work proposes a framework called Cross-modal Translation via Conditional Latent Denoising (CTCLD) for video deepfake detection that connects the distinct distributions of heterogeneous modalities in latent spaces, enabling smooth cross-domain information transfer to improve detection performance.