Awesome-Controllable-Generative-Models-Papers. A curated list of recent papers (2023–2025) on controllable generative models, covering diffusion-based architectures with fine-grained control, attention interpretation, spectral manipulation, and structure-preserving image editing. Ideal for researchers and developers exploring controllable synthesis.

github.com/Bili-Sakura/Awesome-Controllable-Generative-Models-Papers

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