Dimensionality Reduction

Latent Diffusion Model

Introduced by Rombach et al. in High-Resolution Image Synthesis with Latent Diffusion Models

Diffusion models applied to latent spaces, which are normally built with (Variational) Autoencoders.

Source: High-Resolution Image Synthesis with Latent Diffusion Models

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Image Generation 53 17.97%
Denoising 22 7.46%
Decoder 11 3.73%
Text-to-Image Generation 10 3.39%
Video Generation 7 2.37%
Image Reconstruction 6 2.03%
Virtual Try-on 5 1.69%
Image-to-Image Translation 5 1.69%
Semantic Segmentation 5 1.69%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories