Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics

9 February 2023

Papers citing "Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics"

9 / 9 papers shown

Title
DIVE: Taming DINO for Subject-Driven Video Editing Yi Huang Wei Xiong He Zhang Chaoqi Chen Jianzhuang Liu Mingfu Yan Shifeng Chen VGen DiffM 76 0 0 04 Dec 2024
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance Jiannan Huang Jun Hao Liew Hanshu Yan Yuyang Yin Yao Zhao Yunchao Wei Yunchao Wei DiffM 90 6 0 27 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 137 19 0 09 May 2024
Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models Rui Li Ruihuang Li Song Guo Lei Zhang DiffM 35 7 0 17 Mar 2024
Controllable Generation with Text-to-Image Diffusion Models: A Survey Pu Cao Feng Zhou Qing-Huang Song Lu Yang 69 35 0 07 Mar 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 66 85 0 27 Feb 2024
MagicMix: Semantic Mixing with Diffusion Models Jun Hao Liew Hanshu Yan Daquan Zhou Jiashi Feng DiffM 173 60 0 28 Oct 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 308 5,773 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 255 4,774 0 24 Feb 2021