PRIV-Creation/Awesome-Controllable-T2I-Diffusion-Models
An academic survey and curated collection of papers on controllable text-to-image diffusion models for image generation.

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This repository hosts an arXiv survey paper and organized collection of research on controlling text-to-image diffusion models through novel conditioning methods. It categorizes papers across personalization, spatial controls, multi-concept composition, and style transfer. The resource serves as a reference for researchers working on diffusion-based image synthesis and controllable generation techniques.