1 citations · 1 across the 14 of their papers we have counts for
4 papers · 1 filter
MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting
Jun Huang, Ting Liu, Yihang Wu +3
Advancements in generative models have enabled image inpainting models to generate content within specific regions of an image based on provided prompts and masks. However, existin…
AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment
Yiheng Lin, Shifang Zhao, Ting Liu +4
Personalized image generation aims to integrate user-provided concepts into text-to-image models, enabling the generation of customized content based on a given prompt. Recent zero…
GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing
Tong Wang, Ting Liu, Xiaochao Qu +3
Scene text editing, a subfield of image editing, requires modifying texts in images while preserving style consistency and visual coherence with the surrounding environment. While…
DCEdit: Dual-Level Controlled Image Editing via Precisely Localized Semantics
Yihan Hu, Jianing Peng, Yiheng Lin +5
This paper presents a novel approach to improving text-guided image editing using diffusion-based models. Text-guided image editing task poses key challenge of precisly locate and…