CASO learns per-attribute continuous embeddings via classifier gradients, steering Stable Diffusion for text-free, disentangled image editing.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization
CASO learns per-attribute continuous embeddings via classifier gradients, steering Stable Diffusion for text-free, disentangled image editing.