Self-supervised reconstruction direction optimization

Finds an edit direction in a frozen generative model's bottleneck by gradient-optimizing a single vector so the model's own denoising/reconstruction loss recovers concept-present images from a concept-stripped text prompt, requiring no labels, no classifier, and no auxiliary vision-language model.