Concepedia

Diffusion Models

Diffusion Models is a generative modeling framework that belongs to the class of probabilistic latent variable models, distinguished by its sequential process of gradually transforming data into noise through a forward diffusion process and subsequently learning to reverse this process for data generation.

2.4K

Publications

205.9K

Citations

7.5K

Authors

1.8K

Institutions

Publications per year

2017–2026

1.3K

Parents

Publications

2.4K

High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach, Andreas Blattmann, Dominik Lorenz et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 13.7K citations

, , +15

Denoising Diffusion Probabilistic Models

arXiv (Cornell University) · 2020 · 5.6K citations · Full text

, , +16

Adding Conditional Control to Text-to-Image Diffusion Models

Lvmin Zhang, Anyi Rao, Maneesh Agrawala · 2023 · 3.6K citations

, , +9

Pore and solid diffusion models for fixed‐bed adsorbers

Thomas Weber, Ranjit K. Chakravorti · AIChE Journal · 1974 · 2.6K citations

, , +16

A Model for Boundary Diffusion Controlled Creep in Polycrystalline Materials

R. L. Coble · Journal of Applied Physics · 1963 · 2.3K citations

, , +15

1–5 of 2.4K

Authors

7.5K

  1. SE
    Stefano Ermon

    Stanford University, United States

    15 publications · 2.4K citations

    14

    h-index

  2. JC
    Jong Chul Ye

    Korea Advanced Institute of Science and Technology, South Korea

    14 publications · 1.6K citations

    13

    h-index

  3. WP
    Wilton Pereira da Silva

    Universidade Federal de Campina Grande, Brazil

    14 publications · 481 citations

    12

    h-index

  4. TS
    Tim Salimans

    Google (United States), United States

    13 publications · 7.6K citations

    12

    h-index

  5. JS
    Jiaming Song

    Stanford University, United States

    12 publications · 1.2K citations

    12

    h-index

1–5 of 7.5K

Institutions

1.8K

  1. Stanford University

    Stanford, United States

    33 h-index

    106 publications

    25.1K citations

  2. Tsinghua University

    Beijing, China

    24 h-index

    82 publications

    6.4K citations

  3. National University of Singapore

    Singapore, Singapore

    23 h-index

    53 publications

    6.1K citations

  4. University of California, Berkeley

    Berkeley, United States

    22 h-index

    42 publications

    11.5K citations

  5. Centre National de la Recherche Scientifique

    Paris, France

    22 h-index

    69 publications

    3K citations

  6. Google (United States)

    Mountain View, United States

    21 h-index

    100 publications

    27.7K citations

  7. Chinese Academy of Sciences

    Beijing, China

    18 h-index

    73 publications

    4.3K citations

  8. The University of Texas at Austin

    Austin, United States

    18 h-index

    33 publications

    3.1K citations

1–8 of 1.8K

Venues

  1. arXiv (Cornell University)

    Repository · 375 publications · 32.7K citations

    64

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 29 publications · 1.9K citations

    21

    h-index

  3. The Journal of Chemical Physics

    22 publications · 1.7K citations

    17

    h-index

  4. IEEE Transactions on Medical Imaging

    16 publications · 1.4K citations

    15

    h-index

  5. Technological Forecasting and Social Change

    15 publications · 905 citations

    14

    h-index

1–5