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Robin Borth

PhD Candidate, Technical University of Munich

Bio

Hi, I'm Robin. I am a PhD candidate in the Visual Computing and Artificial Intelligence Lab at the Technical University of Munich. I completed my Bachelor's in Computer Science and my Master's in Data Engineering and Analytics at TUM. My previous work focused on 3D reconstruction and meta-learning frameworks that bridge classical reconstruction and tracking methods with neural architectures.

Research Interests

3D Reconstruction, Generative Modeling, Learning-Based Optimization

Teaching

Practical Course: Generative AI — From Diffusion to World Models

TUM · Course page

This practical course offers a comprehensive, hands-on exploration of modern generative and reconstructive AI methods for modeling visual and physical environments. Project topics cover diffusion models, world models, feed-forward reconstruction methods, and scene generation techniques within a semester-long project.

TUMVision

Founder · tumvision.club · LinkedIn

I founded TUMVision, a student-led initiative at the Technical University of Munich focused on computer vision, graphics, and machine learning. The group brings together students for talks, reading sessions, and collaborative projects around visual computing.

Interested in collaborating or giving a talk at TUMVision? I'd love to hear from you — feel free to reach out at robin@tumvision.club.

Student Projects

Single-View Sketch-Based 3D Reconstruction via Multi-View Differentiable Rendering

Learning to Optimize in the Energy Landscape of Parametric Head Models

Learning to Integrate Vector Fields for Neural Poisson Surface Reconstruction