Papers › EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

1 Jan 2019arXiv:1901.00212archive 2025-07-28

Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z. Qureshi, Mehran Ebrahimi

Over the last few years, deep learning techniques have yielded significant improvements in image inpainting. However, many of these techniques fail to reconstruct reasonable structures as they are commonly over-smoothed and/or blurry. This paper develops a new approach for image inpainting that does a better job of reproducing filled regions exhibiting fine details. We propose a two-stage adversarial model EdgeConnect that comprises of an edge generator followed by an image completion network. The edge generator hallucinates edges of the missing region (both regular and irregular) of the image, and the image completion network fills in the missing regions using hallucinated edges as a priori. We evaluate our model end-to-end over the publicly available datasets CelebA, Places2, and Paris StreetView, and show that it outperforms current state-of-the-art techniques quantitatively and qualitatively. Code and models available at: https://github.com/knazeri/edge-connect

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Code

Syntology Ran 4 of 4 code samples harvested from 2 repositories linked to this paper; 0 have no recorded run. Of those that ran: 1 ran · honoured contract; 3 ran · violated contract.

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20 repositories listed; official and paper-mentioned ones first.

knazeri/edge-connect officialmentioned in papermentioned on GitHubpytorchNOASSERTION report
AnishWalawalkar/cs231 mentioned on GitHubpytorchNOASSERTION report
Ma-Dan/EdgeConnect-CoreML mentioned on GitHubpytorchNOASSERTION report
Vaibhav-nn/picTranslate mentioned on GitHubpytorchNOASSERTION report
YeshengSu/EdgeConnect mentioned on GitHubpytorch report
aymericdamien/TopDeepLearning mentioned on GitHubtfMIT report
hawkit/edge-tst mentioned on GitHubpytorchNOASSERTION report
hz-ants/edge-connect mentioned on GitHubpytorchNOASSERTION report
icepoint666/edge-connect-ui mentioned on GitHubpytorchnot reachable when probed 2026-09-18 — repositories for recent papers often appear after camera-ready report
jshi31/edge-connect mentioned on GitHubpytorchNOASSERTION report
kozistr/improved-edge-connect mentioned on GitHubpytorchNOASSERTION report
waallf/edge-connect-master mentioned on GitHubpytorchNOASSERTION report
youyuge34/Anime-InPainting mentioned on GitHubpytorchNOASSERTION report
youyuge34/AnimeInPaint mentioned on GitHubpytorchNOASSERTION report

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1ran · honoured contract
3ran · violated contract

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compare_mae YeshengSu/EdgeConnect/scripts/metrics.py community (archive-listed) ran · violated contract fingerprinted licence not identified · pointer only · 85ce775a2ab90703 · report
decode_segmap sujaykhandekar/Automated-objects-removal-inpainter/src/segmentor_fcn.py community (archive-listed) ran · honoured contract fingerprinted licence not identified · pointer only · 70e7409bac1c5421 · report
fill_gaps sujaykhandekar/Automated-objects-removal-inpainter/src/segmentor_fcn.py community (archive-listed) ran · violated contract fingerprinted licence not identified · pointer only · 1011df05a694cd5c · report
fill_gaps2 sujaykhandekar/Automated-objects-removal-inpainter/src/segmentor_fcn.py community (archive-listed) ran · violated contract fingerprinted licence not identified · pointer only · 04cf7ce6a123ed49 · report

Tasks

Image Inpainting

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Image Inpainting Places2 EdgeConnect FID 12.66 #11 of 14 Archive leaderboard report
Image Inpainting Places2 EdgeConnect P-IDS 1.93 #11 of 14 Archive leaderboard report
Image Inpainting Places2 EdgeConnect U-IDS 15.87 #11 of 14 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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