atfortes/Awesome-Controllable-Diffusion
A curated list of 70+ research papers on adding conditional controls to diffusion models for text-to-image generation.
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This repository aggregates academic papers and resources on controllable generation using diffusion models. It covers techniques such as ControlNet, DreamBooth, IP-Adapter, T2I-Adapter, and related personalization methods for stable diffusion. The list is organized by year (2023–2025) and serves as a reference for researchers and practitioners working on conditional image synthesis.