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Same Same but Different: Semi-Supervised Defect Detection with Normalizing Flows
Same same but different: Semi-supervised defect detection with normalizing flows. -
Generative Model Evaluation
The dataset used in this paper for generative model evaluation, consisting of 4.1M images from 41 state-of-the-art generative models spanning diffusion models, GANs, variational... -
Normalizing Flow Model
The dataset used in the paper is a normalizing flow model, which is a type of generative model. The model is trained to generate data distributions from a given data... -
Likelihood-Based Diverse Sampling for Trajectory Forecasting
Forecasting complex vehicle and pedestrian multi-modal distributions requires powerful probabilistic approaches. Normalizing flows (NF) have recently emerged as an attractive...