Seminar

Inpainting in Image Analysis

Winter Term 2024

Seminar: Inpainting: Foundations and Recent Advances

Dr. Pascal Peter, Kristina Schaefer

Winter Term 2024/25

Seminar (2 h)

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

NEWS:

January 9, 2025:
The write-up template is online.

December 12, 2024:
Schedule is updated and slides are online.

July 15, 2024:
The website is online.

Important Dates – Description – Registration – Requirements – Introductory Meeting – Overview of Topics

Introductory meeting (mandatory):
Slides
Attendance is mandatory for all participants. Do not forget to register first (see below).

Regular meetings during the winter term 2024/25:
Wed 4-6 p.m., E.1.7 room 4.10.

LSF registration deadline:
TBA

Write-up submission deadline:
05.03.2025
LaTeX Template

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 comparing of image patches, diffusion-based methods or neural networks. 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 cover both the foundations of the field as well as 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), some knowledge in image processing and computer vision as well as basic knowledge in neural networks is required.

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

You must register for this course via the Seminar System .

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