Winter Semester 2025/26, TU München

Organisers: Shenhan Qian, Linus Härenstam-Nielsen, Ganlin Zhang, Weirong Chen

Email: 3dvfm-mm3dr-ws25@vision.in.tum.de

This seminar explores contemporary techniques for reconstructing 3D geometry from images, with a focus on learning-based and hybrid approaches. Topics include Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), Signed Distance Functions (SDFs), and other recent innovations at the intersection of computer vision and graphics. Students will engage in paper presentations and discussions with state-of-the-art methods.

The seminar is conducted in English. Dates and schedule of the seminar can be found in TUMOnline.

The seminar will be arranged as a 1-hour weekly course (Wednesday 2pm-3pm), where each student will present a paper assigned after matching.

The preliminary meeting will take place on Zoom, on Tuesday 8th July at 2:00 pm: zoom link. The slides of the preliminary meeting can be found here as slides. If you have any questions do not hesitate to contact us.

Please read the preliminary meeting slides and fill in the google form for application. Applicants who did not fill the form will be ignored.