1. Blended Latent Diffusion
    Omri Avrahami, Ohad Fried, Dani Lischinski
    ACM 2022. Paper   Project   Github  
    2022-06-06
    2022-06-06
  2. Improving Diffusion Models for Inverse Problems using Manifold Constraints
    Hyungjin Chung1, Byeongsu Sim1, Dohoon Ryu, Jong Chul Ye
    arXiv 2022. Paper  
    2022-06-02
    2022-06-02
  3. DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
    Jie Shi1, Chenfei Wu1, Jian Liang, Xiang Liu, Nan Duan
    arXiv 2022. Paper  
    2022-06-01
    2022-06-01
  4. Denoising Diffusion Restoration Models
    Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
    arXiv 2022. Paper  
    2022-01-27
    2022-01-27
  5. RePaint: Inpainting using Denoising Diffusion Probabilistic Models
    Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, Luc Van Gool
    arXiv 2022. Paper   Github  
    2022-01-24
    2022-01-24
  6. High-Resolution Image Synthesis with Latent Diffusion Models
    Robin Rombach1, Andreas Blattmann1, Dominik Lorenz, Patrick Esser, Björn Ommer
    arXiv 2021. Paper   Github  
    2021-12-20
    2021-12-20
  7. Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
    Zhisheng Xiao, Karsten Kreis, Arash Vahdat
    arXiv 2021. Paper   Project  
    2021-12-15
    2021-12-15
  8. Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
    Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
    arXiv 2021. Paper  
    2021-12-09
    2021-12-09
  9. Conditional Image Generation with Score-Based Diffusion Models
    Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
    arXiv 2021. Paper  
    2021-11-26
    2021-11-26
  10. Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
    Sam Bond-Taylor1, Peter Hessey1, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks
    arXiv 2021. Paper   Github  
    2021-11-24
    2021-11-24
  11. ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
    Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
    ICCV 2021 (Oral). Paper   Github  
    2021-08-06
    2021-08-06
  12. SDEdit: Image Synthesis and Editing with Stochastic Differential Equations*
    Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
    arXiv 2021. Paper   Project   Github  
    2021-08-02
    2021-08-02
Counts - 12   Back to top