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cs.CV2026
An Analysis of Regularization and Fokker-Planck Residuals in Diffusion Models for Image Generation
Onno Niemann, Gonzalo Martínez Muñoz, Alberto Suárez Gonzalez
Recent work has shown that diffusion models trained with the denoising score matching (DSM) objective often violate the Fokker--Planck (FP) equation that governs the evolution of t…
cs.CV2023
Towards Comparable Knowledge Distillation in Semantic Image Segmentation
Onno Niemann, Christopher Vox, Thorben Werner
Knowledge Distillation (KD) is one proposed solution to large model sizes and slow inference speed in semantic segmentation. In our research we identify 25 proposed distillation lo…