Summary of Hiding and Recovering Knowledge in Text-to-image Diffusion Models Via Learnable Prompts, by Anh Bui et al.
Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Promptsby Anh Bui, Khanh Doan,…
Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Promptsby Anh Bui, Khanh Doan,…
VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Modelsby Junlin Han, Filippos Kokkinos, Philip…
One-Step Image Translation with Text-to-Image Modelsby Gaurav Parmar, Taesung Park, Srinivasa Narasimhan, Jun-Yan ZhuFirst submitted…
Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solversby Tongda Xu, Ziran…
Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theoryby Hengyu Fu, Zhuoran Yang,…
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priorsby Yazid Janati, Badr Moufad, Alain Durmus, Eric Moulines,…
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulationby Jeongsol Kim, Geon Yeong Park,…
Understanding Diffusion Models by Feynman’s Path Integralby Yuji Hirono, Akinori Tanaka, Kenji FukushimaFirst submitted to…
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversionby Xiaoyu Wu, Yang Hua,…
Cooling-Guide Diffusion Model for Battery Cell Arrangementby Nicholas Sung, Liu Zheng, Pingfeng Wang, Faez AhmedFirst…