most citedGoogle's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

5.7k citations · 6.1k across the 6 of their papers we have counts for

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cs.CV2023★ 79 cited

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…

cs.CV2023★ 25 cited

Monocular Depth Estimation using Diffusion Models

Saurabh Saxena, Abhishek Kar, Mohammad Norouzi +1

We formulate monocular depth estimation using denoising diffusion models, inspired by their recent successes in high fidelity image generation. To that end, we introduce innovation…