79 citations · 146 across the 3 of their papers we have counts for
3 papers
Synthetic Data from Diffusion Models Improves ImageNet Classification
Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia +2
Deep generative models are becoming increasingly powerful, now generating diverse high fidelity photo-realistic samples given text prompts. Have they reached the point where models…
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild
Hshmat Sahak, Daniel Watson, Chitwan Saharia +1
Diffusion models have shown promising results on single-image super-resolution and other image- to-image translation tasks. Despite this success, they have not outperformed state-o…
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen, Hexiang Hu, Chitwan Saharia +1
Research on text-to-image generation has witnessed significant progress in generating diverse and photo-realistic images, driven by diffusion and auto-regressive models trained on…