Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Menu

Links



Seminar: 3D Generative Models

Introduction

A generative model, as the name suggests, generates data based on a parameter. 3D generative models parametrically generate 3D data from a learned distribution of 3D shapes. The distribution is often learned from a 3D dataset. This area of research is now highly active due to the explosion of research in neural generative models such as variational auto-encoders, and generative adversarial networks.

One of the prominent use cases of 3D generative models is reconstruction from images and videos, where these models are used as priors. They are also useful for scene understanding and working with raw 3D data.

In this seminar, we discuss various 3D generative models starting from classical PCA-based models to state-of-the-art neural network-based models. We discuss generative models based on different 3D shape representations - mesh, and implicit representations.

Organization

General
  • Email: 3dgm-ws21@vision.in.tum.de (please address all requests to this address only!)
  • Due to the current situation with the Coronavirus, the preliminary meeting will be online. The seminar and meetings with the supervisor should be in person. We hope that the situation will not get worse and that we do not have to switch back to the online format.
Material
Weekly Meetings
  • Day: Tuesday
  • Time: 10:00 - 12:00
  • Location: Zoom
  • Each session will consist of two talks
  • All talks are held in English

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

04.06.2021

Bernt Schiele (Max Planck Institute for Informatics) will give a talk in the TUM AI lecture series on June 10th, 3pm! Livestream

05.05.2021
French-German Machine Learning Symposium

French-German Machine Learning Symposium

The French-German Machine Learning Symposium aims to strengthen interactions and inspire collaborations between both countries. We invited some of the leading ML researchers from France and Germany to this two-day symposium to give a glimpse into their research, and engage in discussions on the future of machine learning and how to strengthen research collaborations in ML between France and Germany.

The list of speakers includes Yann LeCun, Cordelia Schmid, Jean-Bernard Lasserre, Bernhard Schölkopf, and many more! For the full program please visit the webpage.

03.05.2021

Ron Kimmel (Technion - Israel Institute of Technology) will give a talk in the TUM AI lecture series on May 6th, 3pm! Livestream

23.04.2021

4Seasons Dataset: We have released a novel dataset for benchmarking multi-weather SLAM in autonomous driving.

19.04.2021

Hao Li (Pinscreen) will give a talk in the TUM AI lecture series on April 22nd, 8pm! Livestream

More