Josef Bengtson

Doctoral Student at Signal Processing and Biomedical Engineering

Josef Bengtson is a PhD student in the research group Computer vision and medical image analysis. His research interests focus around developing flexible and controllable generative models that are able to generate content that is 3D consistent.

His Ph.D. position is funded by the grant 3D Scene Perception, Embeddings and Neural Rendering from the Wallenberg AI, Autonomous Systems and Software Program (WASP).

Source: chalmers.se

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Publications (2)
Projects (0)

Showing 2 publications

2025

Adjustable Visual Appearance for Generalizable Novel View Synthesis

Josef Bengtson, David Nilsson, Che-Tsung Lin et al

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 14892 LNCS, p. 157-171

Paper in proceeding

2024

FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes

Marcel Büsching, Josef Bengtson, David Nilsson et al

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, p. 8016-8026

Paper in proceeding

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