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20202026
most citedHigh-Resolution Image Synthesis with Latent Diffusion Models

736 citations · 1.3k across the 18 of their papers we have counts for

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Showing 2021 · cs.CVShow all

5 papers · 2 filters

cs.CV2021★ 736 cited

High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach, Andreas Blattmann, Dominik Lorenz +2

By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data…

cs.CV2021★ 52 cited

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis

Patrick Esser, Robin Rombach, Andreas Blattmann +1

Autoregressive models and their sequential factorization of the data likelihood have recently demonstrated great potential for image representation and synthesis. Nevertheless, the…

cs.CV2021

Stochastic Image-to-Video Synthesis using cINNs

Michael Dorkenwald, Timo Milbich, Andreas Blattmann +3

Video understanding calls for a model to learn the characteristic interplay between static scene content and its dynamics: Given an image, the model must be able to predict a futur…

cs.CV2021

High-Resolution Complex Scene Synthesis with Transformers

Manuel Jahn, Robin Rombach, Björn Ommer

The use of coarse-grained layouts for controllable synthesis of complex scene images via deep generative models has recently gained popularity. However, results of current approach…

cs.CV2021

Geometry-Free View Synthesis: Transformers and no 3D Priors

Robin Rombach, Patrick Esser, Björn Ommer

Is a geometric model required to synthesize novel views from a single image? Being bound to local convolutions, CNNs need explicit 3D biases to model geometric transformations. In…