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Barycentric Guidance: Turning Foundation Image Editors into Continuous Affective Controllers
Harvey Mannering, Zhiwu Huang, Adam Prügel-Bennett
Emotions are expressed on a continuum and are naturally described in the valence-arousal (VA) space. Existing VA-based image editors are typically training-based and domain-specifi…
Noise-Level Diffusion Guidance: Well Begun is Half Done
Harvey Mannering, Zhiwu Huang, Adam Prugel-Bennett
Diffusion models have achieved state-of-the-art image generation. However, the random Gaussian noise used to start the diffusion process influences the final output, causing variat…
OpenSDI: Spotting Diffusion-Generated Images in the Open World
Yabin Wang, Zhiwu Huang, Xiaopeng Hong
This paper identifies OpenSDI, a challenge for spotting diffusion-generated images in open-world settings. In response to this challenge, we define a new benchmark, the OpenSDI dat…
Penny-Wise and Pound-Foolish in Deepfake Detection
Yabin Wang, Zhiwu Huang, Su Zhou +2
The diffusion of deepfake technologies has sparked serious concerns about its potential misuse across various domains, prompting the urgent need for robust detection methods. Despi…
Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection
Yabin Wang, Zhiwu Huang, Zhiheng Ma +1
The emergence of text-to-image generative models has revolutionized the field of deepfakes, enabling the creation of realistic and convincing visual content directly from textual d…
Riemannian Local Mechanism for SPD Neural Networks
Ziheng Chen, Tianyang Xu, Xiao-Jun Wu +3
The Symmetric Positive Definite (SPD) matrices have received wide attention for data representation in many scientific areas. Although there are many different attempts to develop…