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Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We
  Learn How Vision-Language Models Function

Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function

30 September 2024
Chenyi Zhuang
Ying Hu
Pan Gao
    DiffM
    VLM
ArXivPDFHTML

Papers citing "Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function"

3 / 3 papers shown
Title
The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation
The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation
Bingjie Gao
Xinyu Gao
Xiaoxue Wu
Yujie Zhou
Yu Qiao
Li Niu
Xinyuan Chen
Yaohui Wang
71
0
0
16 Apr 2025
Progressive Prompt Detailing for Improved Alignment in Text-to-Image Generative Models
Progressive Prompt Detailing for Improved Alignment in Text-to-Image Generative Models
Ketan Suhaas Saichandran
Xavier Thomas
Prakhar Kaushik
Deepti Ghadiyaram
DiffM
73
0
0
22 Mar 2025
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
S. A. Baumann
Felix Krause
Michael Neumayr
Nick Stracke
Vincent Tao Hu
Bjorn Ommer
Björn Ommer
DiffM
LM&Ro
66
11
0
25 Mar 2024
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