Controlling Text-to-Image Diffusion by Orthogonal Finetuning

12 June 2023

Papers citing "Controlling Text-to-Image Diffusion by Orthogonal Finetuning"

34 / 34 papers shown

Title
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models Kuofeng Gao Yufei Zhu Yiming Li Jiawang Bai Yong-Liang Yang Z. Li Shu-Tao Xia 34 0 0 05 May 2025
ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models Fernando Julio Cendra Kai Han VLM 51 0 0 25 Mar 2025
DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability Xirui Hu Jiahao Wang Hao Chen Weizhan Zhang Benqi Wang Y. Li Haishun Nan DiffM 62 0 0 09 Mar 2025
GCC: Generative Color Constancy via Diffusing a Color Checker Chen-Wei Chang Cheng-De Fan Chia-Che Chang Yi-Chen Lo Yu-Chee Tseng Jiun-Long Huang Yu-Lun Liu 41 0 0 24 Feb 2025
Spectral-factorized Positive-definite Curvature Learning for NN Training Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard E. Turner Roger B. Grosse 45 0 0 10 Feb 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 42 0 0 12 Jan 2025
ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving Jiehui Huang Xiao Dong Wenhui Song Zheng Chong Jun Zhou ... Long Chen Hanhui Li Yiqiang Yan Shengcai Liao Xiaodan Liang DiffM 50 19 0 31 Dec 2024
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 118 2 0 10 Dec 2024
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Seokil Ham H. Kim Sangmin Woo Changick Kim Mamba 130 0 0 21 Nov 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies L. Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 44 3 0 24 Oct 2024
Low-Rank Continual Personalization of Diffusion Models Łukasz Staniszewski Katarzyna Zaleska Kamil Deja DiffM 37 0 0 07 Oct 2024
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization Zichen Miao Zhengyuan Yang Kevin Lin Ze Wang Zicheng Liu Lijuan Wang Qiang Qiu 40 3 0 04 Oct 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni Shan Zhang Piotr Koniusz 81 2 0 25 Sep 2024
Orthogonal Finetuning for Direct Preference Optimization Chenxu Yang Ruipeng Jia Naibin Gu Zheng-Shen Lin Siyuan Chen Chao Pang Weichong Yin Yu Sun Hua-Hong Wu Weiping Wang 27 0 0 23 Sep 2024
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation Yuang Peng Yuxin Cui Haomiao Tang Zekun Qi Runpei Dong Jing Bai Chunrui Han Zheng Ge Xiangyu Zhang Shu-Tao Xia EGVM 72 31 0 24 Jun 2024
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts Samar Khanna Medhanie Irgau David B. Lobell Stefano Ermon VLM 28 4 0 16 Jun 2024
MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance X. Wang Siming Fu Qihan Huang Wanggui He Hao Jiang DiffM 36 41 0 11 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning Yibo Yang Xiaojie Li Zhongzhu Zhou S. Song Jianlong Wu Liqiang Nie Bernard Ghanem 45 6 0 07 Jun 2024
Personalized Residuals for Concept-Driven Text-to-Image Generation Cusuh Ham Matthew Fisher James Hays Nicholas I. Kolkin Yuchen Liu Richard Y. Zhang Tobias Hinz DiffM 42 7 0 21 May 2024
A Survey on Personalized Content Synthesis with Diffusion Models Xu-Lu Zhang Xiao Wei Wengyu Zhang Jinlin Wu Zhaoxiang Zhang Zhen Lei Qing Li Zhen Lei Qing Li EGVM 131 19 0 09 May 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation Xinyu Ma Xu Chu Zhibang Yang Yang Lin Xin Gao Junfeng Zhao 38 6 0 05 Apr 2024
Large Convolutional Model Tuning via Filter Subspace Wei Chen Zichen Miao Qiang Qiu 49 3 0 01 Mar 2024
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization Xingzhe He Zhiwen Cao Nicholas I. Kolkin Lantao Yu Kun Wan Helge Rhodin Ratheesh Kalarot 18 12 0 07 Nov 2023
Masked Diffusion Models Are Fast Distribution Learners Jiachen Lei Qinglong Wang Pengyu Cheng Zhongjie Ba Zhan Qin Zhibo Wang Zhenguang Liu Kui Ren DiffM 17 2 0 20 Jun 2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing Senmao Li Joost van de Weijer Taihang Hu F. Khan Qibin Hou Yaxing Wang Jian Yang DiffM 29 52 0 28 Mar 2023
Pretraining is All You Need for Image-to-Image Translation Tengfei Wang Ting Zhang Bo Zhang Hao Ouyang Dong Chen Qifeng Chen Fang Wen DiffM 184 178 0 25 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 388 4,110 0 28 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,584 0 10 Nov 2021
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 199 132 0 10 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 295 5,761 0 29 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,387 0 21 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,304 0 07 Oct 2016