LatRef-Diff replaces semantic directions in diffusion models with latent and reference-guided style codes, uses a hierarchical style modulation module, and applies forward-backward consistency training to achieve state-of-the-art facial attribute editing and style manipulation on CelebA-HQ.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
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UniEmo unifies emotional understanding and generation by extracting multi-scale features via learnable expert queries, guiding diffusion-based image generation, and using dual feedback to improve both tasks.
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LatRef-Diff: Latent and Reference-Guided Diffusion for Facial Attribute Editing and Style Manipulation
LatRef-Diff replaces semantic directions in diffusion models with latent and reference-guided style codes, uses a hierarchical style modulation module, and applies forward-backward consistency training to achieve state-of-the-art facial attribute editing and style manipulation on CelebA-HQ.
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UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
UniEmo unifies emotional understanding and generation by extracting multi-scale features via learnable expert queries, guiding diffusion-based image generation, and using dual feedback to improve both tasks.