Interactive image completion with perspective correction

By Darko Pavic, Volker Schönefeld, Leif Kobbelt. 2006

76 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

How researchers see this paper

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

In Computer Graphics and Computer-Aided Design

1. Jia-Bin Huang
2. Jiahui Yu
3. Thomas S. Huang
4. Johannes Peter Kopf
5. Narendra Ahuja
6. Jimei Yang
7. Zhe L. Lin
8. Edgar Simo-Serra

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Ming-Hsuan Yang
3. Dacheng Tao
4. Xiaogang Wang
5. Trevor Darrell
6. Chen Change Loy
7. Thomas S. Huang
8. Yi Yang

Citations in the corpus

• Free-Form Image Inpainting With Gated Convolution (2018, background): “…2001; Barnes et al. 2009; Drori et al. 2003; Sun et al. 2005], structures [Huang et al. 2014], transformation or distortion information [Huang et al. 2013; Pavi´c et al. 2006] and image exemplars [Criminisi et al. 2004; Hays and Efros 2007; Kwatra et al. 2005; Whyte et al. 2009; Zhao et al. 2018].”
• Globally and locally consistent image completion (2017, background): “2005], and perspective distortion [Pavić et al. 2006].”
• Transformation guided image completion (2013, methodology): “The information provided by the user is used to generate guidance maps, which in turn is used for guiding the patch search process.”
• Text-Guided Neural Image Inpainting (2020, background): “User-guided Image inpainting Many user-guidance mechanisms are explored to enhance image inpainting systems, including dots or lines [1], structures [10], transformation or distortion [26], and exemplars [7, 13].”