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

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

20 July 2023
Dejia Xu
Xingqian Xu
Wenyan Cong
Humphrey Shi
Zhangyang Wang
    DiffM
ArXivPDFHTML

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

4 / 4 papers shown
Title
Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style
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
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
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
4,010
0
28 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
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
Image Inpainting for Irregular Holes Using Partial Convolutions
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu
F. Reda
Kevin J. Shih
Ting-Chun Wang
Andrew Tao
Bryan Catanzaro
142
1,890
0
20 Apr 2018
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