Diffusion

Controllable Generation with Text-to-Image Diffusion Models: A Survey
A survey on controllable generation with text-to-image diffusion models.
Pu Cao, Feng Zhou, Qing Song, Lu Yang
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Controllable Generation with Text-to-Image Diffusion Models: A Survey
E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance
Improving editability in text-guided Image editing.
Tianrui Huang, Pu Cao, Lu Yang, Chun Liu, Mengjie Hu, Zhiwei Liu, Qing Song
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E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance
Concept-centric Personalization with Large-scale Diffusion Priors
Customize diffusion model for concept-centric generation with high controllability, fidelity, and diversity.
Pu Cao, Lu Yang, Feng Zhou, Tianrui Huang, Qing Song
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Concept-centric Personalization with Large-scale Diffusion Priors
UniDiffusion
A Diffusion training toolbox based on diffusers and existing SOTA methods, including Dreambooth, Texual Inversion, LoRA, Custom Diffusion, XTI, ….
UniDiffusion
Awesome Controllable T2I Diffusion Models
A collection of resources on controllable generation with text-to-image diffusion models.
Awesome Controllable T2I Diffusion Models