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Diffusion Random Feature Model
Diffusion probabilistic models have been successfully used to generate data from noise. However, most diffusion models are computationally expensive and difficult to interpret... -
3DShape2VecSet
3DShape2VecSet: A 3D shape representation for neural fields and generative diffusion models -
SPI-GAN: DENOISING DIFFUSION GANS WITH STRAIGHT-PATH INTERPOLATIONS
Score-based generative models (SGMs) show the state-of-the-art sampling quality and diversity. However, their training/sampling complexity is notoriously high due to the highly... -
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
The dataset used in the paper for Bespoke Non-Stationary (BNS) solvers for fast sampling of diffusion and flow models. -
Beta Diffusion
Beta diffusion is a novel generative modeling method that integrates demasking and denoising to generate data within bounded ranges.
