InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture. - Phillip Mueller; Jannik Wiese; Ioan Craciun; Lars Mikelsons (CoRR, 2024)

Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception. - Phillip Mueller; Lars Mikelsons (CoRR, 2024)

GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design. - Phillip Mueller; Sebastian Mueller; Lars Mikelsons (CoRR, 2024)

MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling. - Damian Boborzi; Phillip Mueller; Jonas Emrich; Dominik Schmid 002; Sebastian Mueller; Lars Mikelsons (CoRR, 2025)

Masked Conditioning for Deep Generative Models. - Phillip Mueller; Jannik Wiese; Sebastian Mueller; Lars Mikelsons (CoRR, 2025)