Papers
190 papers found
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model
Changhoon Kim, Kyle Min, Yezhou Yang
T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models
Zhongqi Wang, Jie Zhang, Shiguang Shan et al.
ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems
Denis Zavadski, Johann-Friedrich Feiden, Carsten Rother
Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training
Xinyan Chen, Jiaxin Ge, Tianjun Zhang et al.
Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement
Zhiyuan Chang, Mingyang Li, Junjie Wang et al.
R-Bind: Unified Enhancement of Attribute and Relation Binding in Text-to-Image Diffusion Models
Huixuan Zhang, Xiaojun Wan
RRInf: Efficient Influence Function Estimation via Ridge Regression for Large Language Models and Text-to-Image Diffusion Models
Zhuozhuo Tu, Cheng Chen, Yuxuan Du
Zero-Shot Spatial Layout Conditioning for Text-to-Image Diffusion Models
Guillaume Couairon, Marlène Careil, Matthieu Cord et al.
Ablating Concepts in Text-to-Image Diffusion Models
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang et al.
Editing Implicit Assumptions in Text-to-Image Diffusion Models
Hadas Orgad, Bahjat Kawar, Yonatan Belinkov
Localizing Object-Level Shape Variations with Text-to-Image Diffusion Models
Or Patashnik, Daniel Garibi, Idan Azuri et al.
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
Gwanghyun Kim, Ji Ha Jang, Se Young Chun
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao, Yongming Rao, Zuyan Liu et al.
Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion
Jiwon Kim, Pureum Kim, SeonHwa Kim et al.
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning
Huan Wang, Haoran Li, Huaming Chen et al.
FairGen: Enhancing Fairness in Text-to-Image Diffusion Models via Self-Discovering Latent Directions
Yilei Jiang, Wei-Hong Li, Yiyuan Zhang et al.
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
Saemi Moon, Minjong Lee, Sangdon Park et al.
CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models
Gaoyang Zhang, Bingtao Fu, Qingnan Fan et al.
SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models
Kien Nguyen, Anh Tran, Cuong Pham
VSC: Visual Search Compositional Text-to-Image Diffusion Model
Do Huu Dat, Nam Hyeon-Woo, Po-Yuan Mao et al.
Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning
Yiyang Chen, Shanshan Zhao, Lunhao Duan et al.
Draw Your Mind: Personalized Generation via Condition-Level Modeling in Text-to-Image Diffusion Models
Hyungjin Kim, Seokho Ahn, Young-Duk Seo
Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection
Shufan Li, Konstantinos Kallidromitis, Akash Gokul et al.
Supercharged One-step Text-to-Image Diffusion Models with Negative Prompts
Viet Nguyen, Anh Nguyen, Trung Dao et al.
Steering Guidance for Personalized Text-to-Image Diffusion Models
Sunghyun Park, Seokeon Choi, Hyoungwoo Park et al.