Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap

20 July 2023

Papers citing "Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap"

7 / 7 papers shown

Title
Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style Haohan Wang Wei Feng Yang Lu Yaoyu Li Zheng Zhang Jingjing Lv Xin Zhu Jun-Jun Shen DiffM 68 5 0 20 Jan 2025
CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Kuan-Hung Liu Cheng-Kun Yang Min-Hung Chen Yu-Lun Liu Y. Lin DiffM 21 1 0 04 Jan 2025
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models Jiayi Guo Xingqian Xu Yifan Pu Zanlin Ni Chaofei Wang Manushree Vasu Shiji Song Gao Huang Humphrey Shi DiffM 22 28 0 07 Dec 2023
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
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 1,353 0 24 Jan 2022
Making Images Real Again: A Comprehensive Survey on Deep Image Composition Li Niu Wenyan Cong Liu Liu Yan Hong Bo Zhang Jing Liang Liqing Zhang VLM DiffM CoGe 22 76 0 28 Jun 2021
Image Inpainting for Irregular Holes Using Partial Convolutions Guilin Liu F. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro 142 1,912 0 20 Apr 2018