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Found 4 papers, 0 papers with code
Upsample Guidance: Scale Up Diffusion Models without Training
We demonstrate that upsample guidance can be applied to various models, such as pixel-space, latent space, and video diffusion models.
Resolution Chromatography of Diffusion Models
In this paper, we introduce "resolution chromatography" that indicates the signal generation rate of each resolution, which is very helpful concept to mathematically explain this coarse-to-fine behavior in generation process, to understand the role of noise schedule, and to design time-dependent modulation.
Mirror descent of Hopfield model
Mirror descent is an elegant optimization technique that leverages a dual space of parametric models to perform gradient descent.
Tractable loss function and color image generation of multinary restricted Boltzmann machine
The restricted Boltzmann machine (RBM) is a representative generative model based on the concept of statistical mechanics.
