Ancient Indian Murals Digital Restoration through Image InPainting

Author:

Singh Usneek1,Maiti Somsukla2,Saini Anil2,Dhiraj 2

Affiliation:

1. Birla Institute of Technology and Science,Pilani,India

2. CSIR-CEERI,Pilani,India

Publisher

IEEE

Reference22 articles.

1. Superresolution reconstruction method for ancient murals based on the stable enhanced generative adversarial network

2. Towards an Inpainting Framework for Visual Cultural Heritage

3. A global and local feature weighted method for ancient murals inpainting;wang;International Journal of Machine Learning and Cybernetics,2019

4. Virtual restoration of the colored paintings on weathered beams in the Forbidden City using multiple deep learning algorithms

5. U-net: Convolutional networks for biomedical image segmentation;ronneberger;In International Conference on Medical image computing and computer-assisted itner-vention,2015

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1. Mural Disease Detection Based on ConvUNeXt with Improved Up-Sampling and Feature Fusion;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

2. Revitalizing ancient murals in the Shekhawati region through image inpainting techniques;2024 11th International Conference on Signal Processing and Integrated Networks (SPIN);2024-03-21

3. Damage Segmentation and Restoration of Ancient Wall Paintings for Preserving Cultural Heritage;Communications in Computer and Information Science;2024

4. Progressive Dunhuang murals inpainting based on recurrent feature reasoning network;Journal of Intelligent & Fuzzy Systems;2023-10-04

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