Consistent, Privacy-preserving Scenes from Multiple Depth Views and Ultra-Low-Resolution RGB images

Thesis

Thesis Degree:

Master

Thesis Advisors:

Xuying Huang

Thesis Description:

We plan to re-implement the method presented in [1], extending the network to take both depth maps and ultra-low-resolution RGB images as inputs. We will then deploy it on a real robot to reconstruct a practical, real-world 3D scene.

Thesis Start Date:

September 1, 2025

Thesis Requirements:

Enrolled in computer science or similar MSc program in and around Bonn/Cologne

Familiarity with computer vision and mobile robot

Experience with diffusion and generative models is a plus

Programming experience with C++, Python

Thesis Related Work:

1. Z.Liu et al. “MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments”, ICCV, 2025