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Found 4 papers, 1 papers with code
D$^3$: Scaling Up Deepfake Detection by Learning from Discrepancy
The boom of Generative AI brings opportunities entangled with risks and concerns.
EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation
Additionally, we propose an emotion intensity control method using a fine-grained emotion matrix.
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
In this work, we investigate the diffusion (physics) in diffusion (machine learning) properties and propose our Cyclic One-Way Diffusion (COW) method to control the direction of diffusion phenomenon given a pre-trained frozen diffusion model for versatile customization application scenarios, where the low-level pixel information from the conditioning needs to be preserved.
Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning
In this paper, we propose a Patch-Mixed Cross-Modality framework (PMCM), where two images of the same person from two modalities are split into patches and stitched into a new one for model learning.
