Standout Papers

RePaint: Inpainting using Denoising Diffusion Probabilistic Models 2022 2026 2023 2024425
  1. RePaint: Inpainting using Denoising Diffusion Probabilistic Models (2022)
    Andreas Lugmayr, Martin Danelljan et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Immediate Impact

1 from Science/Nature 81 standout
Sub-graph 1 of 22

Citing Papers

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2 intermediate papers

Works of Andreas Lugmayr being referenced

RePaint: Inpainting using Denoising Diffusion Probabilistic Models
2022 Standout

Author Peers

Author Last Decade Papers Cites
Andreas Lugmayr 327 64 46 73 4 484
Andrés Romero 292 51 46 75 8 446
Arsenii Ashukha 311 45 52 120 6 422
Jingwen Ye 361 43 71 128 10 534
H. C. Wolf 397 42 25 43 11 541
Yongcheng Jing 404 48 87 97 7 520
Arun Mallya 422 34 55 132 7 506
J. Gil 273 35 30 90 12 492
J. Anthony Parker 275 87 22 35 5 547
Yang Song 149 26 22 123 3 469
Vishvjit S. Nalwa 417 86 23 48 9 503

All Works

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Rankless by CCL
2026