Region Filling and Object Removal by Exemplar based Image Inpainting

By Sayali Baheti, Payal Shah, Deeksha Jagtap, A. Pawar. 2015

183 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zhangyang Wang
2. Jiaying Liu
3. Shuai Yang
4. Hongyu Liu
5. Yibing Song
6. Bin Jiang
7. Zongming Guo
8. Chao Yang

Citations in the corpus

• Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches (2020, methodology): “To deal with large missing areas, examplar-based methods are proposed to synthesize textures by sampling pixels or patches from the known region in a greedy [5, 28] or global [31, 1, 16] manner.”
• Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations (2020, methodology): “In contrast, methods [4,5,28,2,36] based on patch match fill missing regions by transferring similar and relevant patches from the remaining image region to the hole region.”