E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance

no code implementations • 15 Mar 2024 • Tianrui Huang, Pu Cao, Lu Yang, Chun Liu, Mengjie Hu, Zhiwei Liu, Qing Song

Diffusion-based image editing is a composite process of preserving the source image content and generating new content or applying modifications.

Text-based Image Editing

Concept-centric Personalization with Large-scale Diffusion Priors

1 code implementation • 13 Dec 2023 • Pu Cao, Lu Yang, Feng Zhou, Tianrui Huang, Qing Song

In this work, we present the task of customizing large-scale diffusion priors for specific concepts as concept-centric personalization.

Diffusion Personalization

What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion

2 code implementations • 28 Jan 2023 • Pu Cao, Lu Yang, Dongxv Liu, Xiaoya Yang, Tianrui Huang, Qing Song

To tackle this problem, we introduce Domain-Specific Hybrid Refinement (DHR), which draws on the advantages and disadvantages of two mainstream refinement techniques to maintain editing ability with fidelity improvement.