Towards Context-Stable and Visual-Consistent Image Inpainting

8 December 2023

Papers citing "Towards Context-Stable and Visual-Consistent Image Inpainting"

7 / 7 papers shown

Title
DiffSTR: Controlled Diffusion Models for Scene Text Removal Sanhita Pathak V. Kaushik Brejesh Lall DiffM 20 0 0 29 Oct 2024
3D StreetUnveiler with Semantic-aware 2DGS -- a simple baseline Jingwei Xu Yikai Wang Yiqun Zhao Yanwei Fu Shenghua Gao 3DGS 57 2 0 28 May 2024
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach Feng Luo Jin-Peng Xiang Jun Zhang Xiao Han Wei Yang DiffM 83 10 0 18 Oct 2023
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
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,570 0 10 Nov 2021
Image Inpainting for Irregular Holes Using Partial Convolutions Guilin Liu F. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro 142 1,890 0 20 Apr 2018