Papers › DGC-Net: Dense Geometric Correspondence Network
DGC-Net: Dense Geometric Correspondence Network
Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala
This paper addresses the challenge of dense pixel correspondence estimation between two images. This problem is closely related to optical flow estimation task where ConvNets (CNNs) have recently achieved significant progress. While optical flow methods produce very accurate results for the small pixel translation and limited appearance variation scenarios, they hardly deal with the strong geometric transformations that we consider in this work. In this paper, we propose a coarse-to-fine CNN-based framework that can leverage the advantages of optical flow approaches and extend them to the case of large transformations providing dense and subpixel accurate estimates. It is trained on synthetic transformations and demonstrates very good performance to unseen, realistic, data. Further, we apply our method to the problem of relative camera pose estimation and demonstrate that the model outperforms existing dense approaches.
In Syntology Open this paper in Syntology's Atlas, the map of the papers in Syntology's graph and their citations.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Dense Pixel Correspondence Estimation | HPatches | DGC-Net aff+tps+homo | Viewpoint I AEPE | 1.55 | #2 of 8 | Archive leaderboard | report |
| Dense Pixel Correspondence Estimation | HPatches | DGC-Net aff+tps+homo | Viewpoint II AEPE | 5.53 | #2 of 8 | Archive leaderboard | report |
| Dense Pixel Correspondence Estimation | HPatches | DGC-Net aff+tps+homo | Viewpoint III AEPE | 8.98 | #2 of 8 | Archive leaderboard | report |
| Dense Pixel Correspondence Estimation | HPatches | DGC-Net aff+tps+homo | Viewpoint IV AEPE | 11.66 | #2 of 8 | Archive leaderboard | report |
| Dense Pixel Correspondence Estimation | HPatches | DGC-Net aff+tps+homo | Viewpoint V AEPE | 16.70 | #2 of 8 | 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections