RePaint: Inpainting using Denoising Diffusion Probabilistic Models-Reference-Cited by-同舟云学术

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Lugmayr Andreas¹,Danelljan Martin¹,Romero Andres¹,Yu Fisher¹,Timofte Radu¹,Van Gool Luc¹

Affiliation:

1. ETH Zürich,Computer Vision Lab,Switzerland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880056.pdf?arnumber=9880056

Reference55 articles.

1. Resolution-robust large mask inpainting with fourier convolutions;suvorov;ArXiv Preprint,2021

2. StructureFlow: Image Inpainting via Structure-Aware Appearance Flow

3. Generating diverse structure for image inpainting with hierarchi-cal vq-vae;peng;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0

4. Context Encoders: Feature Learning by Inpainting

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