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David J. Fleet — most-cited papers & profile · Generative Models
← authors
·
overview
David J. Fleet
19
papers ·
1162
citations ·
72
h-index
Google (United States) · University of Toronto · Google DeepMind (United Kingdom) · Google (Canada) · Salisbury University
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Most-cited papers
Cascaded Diffusion Models for High Fidelity Image Generation
2021 · 454 citations
Imagen Video: High Definition Video Generation with Diffusion Models
2022 · 346 citations
Synthetic Data from Diffusion Models Improves ImageNet Classification
2023 · 79 citations
Video Diffusion Models
2022 · 72 citations
Image Super-Resolution via Iterative Refinement
2021 · 46 citations
Monocular Depth Estimation using Diffusion Models
2023 · 25 citations
TzK Flow - Conditional Generative Model
2018 · 1 citations
Controlling Space and Time with Diffusion Models
2024
TzK: Flow-Based Conditional Generative Model
2019
High Mutual Information in Representation Learning with Symmetric Variational Inference
2019
Palette: Image-to-Image Diffusion Models
2021
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
2024
Top co-authors
Chitwan Saharia
· 5
Mohammad Norouzi
· 5
Tim Salimans
· 5
Jonathan Ho
· 4
Micha Livne
· 3
William Chan
· 3
Alexey Gritsenko
· 2
Kevin Swersky
· 2
Saurabh Saxena
· 2
Abdullah Rashwan
· 1
Abhishek Kar
· 1
Andrea Tagliasacchi
· 1
Topics
Diffusion Models
Training & Sampling
Conditioning & Control
3D & NeRF Generation
Text-to-Image
GANs
Audio Generation
Text-to-Video
cs.IT
eess.SP