Papers
190 papers found
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
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
Shengfang Zhai, Huanran Chen, Yinpeng Dong et al.
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
Gunshi Gupta, Karmesh Yadav, Yarin Gal et al.
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
Ruihao Xia, Yu Liang, Peng-Tao Jiang et al.
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
Xinchen Zhang, Ling Yang, Yaqi Cai et al.
AID: Attention Interpolation of Text-to-Image Diffusion
Qiyuan He, Jinghao Wang, Ziwei Liu et al.
AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models
Yuchen Fu, Zhiwei Jiang, Yuliang Liu et al.
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models
Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn et al.
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models
Namhyuk Ahn, Junsoo Lee, Chunggi Lee et al.
AltDiffusion: A Multilingual Text-to-Image Diffusion Model
Fulong Ye, Guang Liu, Xinya Wu et al.
Progressive Text-to-Image Diffusion with Soft Latent Direction
YuTeng Ye, Jiale Cai, Hang Zhou et al.
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
Maitreya Patel, Tejas Gokhale, Chitta Baral et al.
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models
SeungHoo Hong, Juhun Lee, Simon S. Woo
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models
Yihao Huang, Felix Juefei-Xu, Qing Guo et al.
Simplifying Control Mechanism in Text-to-Image Diffusion Models
Zhida Feng, Li Chen, Yuenan Sun et al.
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Yabo Zhang, Yuxiang Wei, Xianhui Lin et al.
Local Conditional Controlling for Text-to-Image Diffusion Models
Yibo Zhao, Liang Peng, Yang Yang et al.
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
Daewon Chae, June Suk Choi, Jinkyu Kim et al.
Fair Text-to-Image Diffusion via Fair Mapping
Jia Li, Lijie Hu, Jingfeng Zhang et al.
Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion
Jie Li, Yow-Ting Shiue, Yong-Siang Shih et al.
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model With Knowledge-Enhanced Mixture-of-Denoising-Experts
Zhida Feng, Zhenyu Zhang, Xintong Yu et al.
Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models
Jiarui Xu, Sifei Liu, Arash Vahdat et al.
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Qiucheng Wu, Yujian Liu, Handong Zhao et al.
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani et al.
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim, Se Young Chun