232 citations · 235 across the 12 of their papers we have counts for
6 papers · 1 filter
Guiding a diffusion model using sliding windows
Nikolas Adaloglou, Tim Kaiser, Damir Iagudin +1
Guidance is a widely used technique for diffusion models to enhance sample quality. Technically, guidance is realised by using an auxiliary model that generalises more broadly than…
Lagrangian Klein bottles in
Nikolas Adaloglou, Jonathan David Evans
We use Luttinger surgery to show that there are no Lagrangian Klein bottles in in the -homology class of an -factor if the symplectic area of tha…
Scaling Up Deep Clustering Methods Beyond ImageNet-1K
Nikolas Adaloglou, Felix Michels, Kaspar Senft +2
Deep image clustering methods are typically evaluated on small-scale balanced classification datasets while feature-based -means has been applied on proprietary billion-scale da…
Embeddings and disjunction of Lagrangian pinwheels via rational blow-ups
Nikolas Adaloglou
We use the symplectic rational blow-up to study some Lagrangian pinwheels in symplectic rational manifolds. In particular, we determine which symplectic forms in the threefold blow…
Symplectic cohomology of quasihomogeneous singularities
Nikolas Adaloglou, Federica Pasquotto, Aline Zanardini
We compute the symplectic cohomology of Milnor fibers of isolated quasihomogeneous cAn singularities . In addition, we use our computations to distinguish their links as contact ma…
Rethinking cluster-conditioned diffusion models for label-free image synthesis
Nikolas Adaloglou, Tim Kaiser, Felix Michels +1
Diffusion-based image generation models can enhance image quality when conditioned on ground truth labels. Here, we conduct a comprehensive experimental study on image-level condit…