Advances in Inpainting

Summer Term 2020

(Main) Seminar: Advances in Inpainting

Sarah Andris, Jon Arnar Tomasson, Prof. Joachim Weickert

Summer Term 2020

(Main) Seminar (2 h)

Notice for bachelor/master students of mathematics: This is a »Hauptseminar« in the sense of these study programs.

Object removal. (Authors: Criminisi, Pérez, Toyama)


February 3, 2020:
Registration is open.

February 6, 2020:
Registration is closed.
Passwords have been sent via mail.

February 7, 2020:
Topics have been distributed.
Advisers have been assigned.
Slides from introductory talk are online.

February 24, 2020:
Schedule has been updated.

February 26, 2020:
LSF registration is now open.
Deadline: March 16, 2020.

March 15, 2020:
Due to the Covid-19 pandemic, the seminar will be postponed.
Exact dates will be updated as soon as the situation becomes clearer.

May 1, 2020:
The seminar will be completely virtual.
All students have been made members of a Teams Group. Communication will commence there, important dates will still be posted here.
The first seminar meeting will be on May 20.
There will be an organisatorial video conference on May 13.

Important DatesDescriptionRegistrationRequirementsIntroductory MeetingOverview of Topics

Introductory meeting (mandatory):
The introductory meeting will take place on Friday, February 7, 2020, 2:15 p.m., in E1.7, Room 4.10.
In this meeting, we will assign the topics to the participants. Attendance is mandatory for all participants. Do not forget to register first (see below).

Regular meetings during the summer term 2020:
Wednesday, 4:15 p.m., web meetings via Teams

LSF registration deadline:
March 16, 2020.

Write-up submission deadline:
August 7, 2020, 23:59. Please hand in your write-up via your Teams assignment.

Contents: Inpainting has been introduced as a technique to restore missing or deteriorated regions by using information from within the image. There are various ways to fill these missing parts such as simple interpolation, diffusion-based methods, or by comparing image patches. Nowadays, specialised inpainting methods can remove objects seamlessly or can even reconstruct an image using only a tiny fraction of the original information. In this seminar, we firstly cover basic concepts and move on to forefront research in the field of inpainting.

Prerequisites: The seminar is for advanced bachelor or master students in Visual Computing, Mathematics, or Computer Science. Basic mathematical knowledge (e.g. Mathematik für Informatiker I-III) and some knowledge in image processing and computer vision is required.

Language: All papers are written in English, and English is the language of presentation.

There are no more places left. The registration is closed.

Regular attendance: You must attend all virtual seminar meetings. If you are sick, please send a medical certificate via mail to Sarah Andris. If you have technical difficulties, let us know as soon as possible.

Talk: Your talk will consist of a 20min prerecorded video which is divided into 3-4 parts. A supervisor will stream them live during the virtual seminar meeting. After each part, there will be room for questions. After the talk, there will be a final discussion. Your presentation must be delivered in English. Your slides and your write-up, too, have to be in English. Send your video files in mp4 format and your presentation slides in pdf format to Sarah Andris at least 24h before the seminar meeting.

Write-up: The write-up has to be handed in three weeks after the lecture period ends. The deadline is Friday, August 7, 23:59. The write-up should summarise your talk and has to consist of 5 pages per speaker. Please adhere to the guidelines for write-ups posted in our Teams group. Submit your write-up in pdf format directly in the corresponding assignment in Teams.

Plagiarism: Adhere to the standards of scientific referencing and avoid plagiarism: Quotations and copied material (such as images) must be clearly marked as such, and a bibliography is required. Otherwise the seminar counts as failed. See the write-up guidelines for a detailed explanation on how to cite correctly.

Mandatory consultation: Talk preparation (included a preliminary video and presentation slides) has to be presented to your seminar supervisor no later than one week before the talk is given. It is your responsibility to approach us timely and make your appointment for a video call.

No-shows: No-shows are unfair to your fellow students: Some talks are based on previous talks, and your seminar place might have prevented the participation of another student. Thus, in case you do not appear to your scheduled talk (except for reasons beyond your control), we reserve the right to exclude you from future seminars of our group.

Participation in discussions: The discussions after the presentations are a vital part of this seminar. This means that the audience (i.e. all paricipants) poses questions and tries to find positive and negative aspects of the proposed idea.

Being in time: To avoid interrupting the seminar, all participants have to be logged into the web meeting in time. Please make sure to log in early, in case there are technical difficulties. Participants that turn out to be regularly late must expect a negative influence on their grade.

Here are the slides from the introductory meeting. They contain important information for preparing a good talk.

We will discuss the following papers. If your registration was successful, the password will be sent to you before the first meeting.

No.   Date   Speaker Advisor Topic
1 20.5. Benedict Strube
Tomasson A. Criminisi, P. Pérez, and K. Toyama:
Region Filling and Object Removal by Exemplar-Based Image Inpainting
2 20.5. Varshini Muthukumar
Andris D. Ding, S. Ram, and J. J. Rodriguez:
Perceptually Aware Image Inpainting
-- -- --
-- postponed due to sickness
4 27.5. Miaoran Zhang
Andris L. Karos, P. Bheed, P. Peter, and J. Weickert:
Optimising Data for Exemplar-based Inpainting
5 3.6. Ashish Bhattarai
Tomasson P. Getreuer:
Total Variation Inpainting using Split Bregman
6 3.6. Benedikt Schardt
Andris E. Karaca and M. A. Tunga:
An Interpolation-based Texture and Pattern Preserving Algorithm for Inpainting Color Images
7 10.6. Kristina Schaefer
Tomasson C. Schmaltz, P. Peter, M. Mainberger, F. Ebel, J. Weickert, and A. Bruhn:
Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion
8 10.6. Daniel Gaa
Andris F. Jost, P. Peter, and J. Weickert:
Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting
9 17.6. Moritz Philipp Altmeyer
Tomasson P. Peter:
Fast Inpainting-Based Compression: Combining Shepard Interpolation with Joint Inpainting and Prediction
10 17.6. Vincent Nebel
Andris M. Augustin, J. Weickert, and S. Andris:
Pseudodifferential Inpainting: The Missing Link between PDE- and RBF-Based Interpolation
11 24.6. Moritz Kunz
Tomasson A. Adler, V. Emiya, M. Jafari, M. Elad, R. Gribonval, M. D. Plumbley:
Audio Inpainting
12 24.6. Jonas Klesen
Andris P. Peter, J. Contelly, and J. Weickert:
Compressing Audio Signals with Inpainting-based Sparsification
13 1.7. Maria Sargsyan
Tomasson S. Lee, G. Wolberg, and S. Y. Shin:
Scattered Data Interpolation with Multilevel B-Splines
14 1.7. Khuong Nguyen Ba
Andris A. Kumar, A. Shih, Y. Ito, D. Ross, and B. Soni:
A Hole-Filling Algorithm Using Non-Uniform Rational B-Splines
15 8.7. Navami Kairanda
Tomasson D. Ulyanov, A. Vedaldi, and V. Lempitsky:
Deep Image Prior
16 8.7. Özlem Yalcin
Andris R. D. Adam, P. Peter, and J. Weickert:
Denoising by Inpainting
3 15.7. Moritz van Recum
Tomasson G. Facciolo, P. Arias, V. Caselles, and G. Sapiro:
Exemplar-Based Interpolation of Sparsely Sampled Images

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