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Arash Vahdat — most-cited papers & profile · Generative Models
← authors
·
overview
Arash Vahdat
32
papers ·
996
citations ·
32
h-index
Nvidia (United Kingdom) · Johannes Gutenberg University Mainz · Cornell University · University Medical Center of the Johannes Gutenberg University Mainz · Nvidia (United States)
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Most-cited papers
NVAE: A Deep Hierarchical Variational Autoencoder
2020 · 378 citations
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
2022 · 223 citations
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
2021 · 145 citations
A Variational Perspective on Solving Inverse Problems with Diffusion Models
2023 · 36 citations
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
2018 · 25 citations
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
2018 · 21 citations
Fast Sampling of Diffusion Models via Operator Learning
2022 · 17 citations
PhysDiff: Physics-Guided Human Motion Diffusion Model
2022 · 12 citations
A Contrastive Learning Approach for Training Variational Autoencoder Priors
2020 · 9 citations
Fast Training of Diffusion Models with Masked Transformers
2023 · 8 citations
Undirected Graphical Models as Approximate Posteriors
2019 · 5 citations
CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation
2024 · 2 citations
Heavy-Tailed Diffusion Models
2024 · 2 citations
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
2024 · 2 citations
Energy-Based Diffusion Language Models for Text Generation
2024 · 1 citations
Top co-authors
Weili Nie
· 6
Jan Kautz
· 5
Karsten Kreis
· 4
Evgeny Andriyash
· 3
Jiaming Song
· 3
Morteza Mardani
· 3
William G. Macready
· 3
Anima Anandkumar
· 2
Hongkai Zheng
· 2
Yilun Xu
· 2
Alexander Schwing
· 1
Alex Dimakis
· 1
Topics
Diffusion Models
Training & Sampling
Text-to-Video
Audio Generation
3D & NeRF Generation
eess.SP
stat.ML
cs.IT
Conditioning & Control
math.IT