Image Generation
cs.CV · 3 papers
stat.ML · 2014
Generative Adversarial Nets
MNIST: 225 ± 2Ian J. Goodfellow, Jean Pouget-Abadie +6
We propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data…
Code· 4.1k★
cs.CV · 2024
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
FID: 1.73Keyu Tian, Yi Jiang +3
We present Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines the autoregressive learning on images as coarse-to-fine "next-scale prediction" or…
Code· 8.7k★
cs.CV · 2021
High-Resolution Image Synthesis with Latent Diffusion Models
FID: 5.11Robin Rombach, Andreas Blattmann +3
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…
Code· 14k★