Tag: image
Latent Diffusion
2025-08-25 model-intro image diffusion The highly abstract "diffusion" model concept gets one more significant development: wrapping the model inside an autoencoder that translates between the high-dimensional pixel space and a lower-dimensional latent space with semantic properties. Running a diffusion model inside the latent space has theoretical and practical advantages, and the authors of the paper apply that to a range of image-generation problems. Access: $$$ Pro
Original diffusion: Adding noise to remove it
2025-08-04 theory image diffusion Some of the underlying theory for diffusion-type models, which have become popular for image generation. This paper is one of the original sources for the diffusion approach, not introduction of a specific model but the very general abstract concepts used in subsequent models. Access: Free account (logged in)
Features are not what you think
2025-08-01 theory security image Two interesting things about neural network image classifiers: one, the individual neurons don't seem to be special in terms of detecting meaningful features; and two, it's frighteningly easy to construct adversarial examples that will fool the classification. Access: $ Basic