Training-free Content Injection using h-space in Diffusion Models

Training-free Content Injection using h-space in Diffusion Models

27 March 2023

Papers citing "Training-free Content Injection using h-space in Diffusion Models"

10 / 10 papers shown

Title
StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Ruojun Xu Weijie Xi Xiaodi Wang Yongbo Mao Zach Cheng DiffM 28 1 0 20 Jan 2025
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 56 5 0 18 Apr 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 84 0 27 Feb 2024
Diffusion-based Image Translation using Disentangled Style and Content Representation Gihyun Kwon Jong Chul Ye DiffM 147 149 0 30 Sep 2022
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer Zijie Wu Zhen Zhu Junping Du Xiang Bai 61 79 0 11 Jul 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 211 1,330 0 24 Jan 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 508 0 06 Dec 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,191 0 21 Nov 2016