Uncovering the Text Embedding in Text-to-Image Diffusion Models

Uncovering the Text Embedding in Text-to-Image Diffusion Models

1 April 2024

Fan Wang

Papers citing "Uncovering the Text Embedding in Text-to-Image Diffusion Models"

8 / 8 papers shown

Title
Implicit Bias Injection Attacks against Text-to-Image Diffusion Models Huayang Huang Xiangye Jin Jiaxu Miao Yu Wu 29 0 0 02 Apr 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data Haoxin Li Boyang Li CoGe 69 0 0 03 Mar 2025
Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps Jeeyung Kim Erfan Esmaeili Qiang Qiu DiffM 81 1 0 21 Nov 2024
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function Chenyi Zhuang Ying Hu Pan Gao DiffM VLM 42 12 0 30 Sep 2024
Prompt-Softbox-Prompt: A free-text Embedding Control for Image Editing Yitong Yang Yinglin Wang Jing Wang Tian Zhang DiffM 26 1 0 24 Aug 2024
TurboEdit: Instant text-based image editing Zongze Wu Nicholas I. Kolkin Jonathan Brandt Richard Zhang Eli Shechtman DiffM 30 11 0 14 Aug 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space Core Francisco Park Maya Okawa Andrew Lee Ekdeep Singh Lubana Hidenori Tanaka 50 6 0 27 Jun 2024
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models Katherine Xu Lingzhi Zhang Jianbo Shi 41 12 0 23 May 2024