Cross-View Image-to-Image Translation

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (8 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Image-to-Image Translation with Conditional Adversarial Networks
  21 Nov 2016 192 repositories listed Syntology ran 14 of 122 samples · 108 unverified · 1 pointer-only (licence)
  We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems.
• Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
  15 Apr 2019 3 repositories listed
  In this paper, we propose a novel approach named Multi-Channel Attention SelectionGAN (SelectionGAN) that makes it possible to generate images of natural scenes in arbitrary viewpoints, based on an image of the scene…
• A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View
  8 May 2020 2 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Accurate environment perception is essential for automated driving.
• Cross-view image synthesis using geometry-guided conditional GANs
  14 Aug 2018 2 repositories listed
  For this, we propose to use homography as a guide to map the images between the views based on the common field of view to preserve the details in the input image.
• Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs
  26 Mar 2023 1 repository listed
  This paper aims to develop an accurate 3D geometry representation of satellite images using satellite-ground image pairs.
• Cross-View Image Synthesis using Conditional GANs
  9 Mar 2018 1 repository listed
  X-Fork architecture has a single discriminator and a single generator.
• Cross-View Image Matching for Geo-localization in Urban Environments
  22 Mar 2017 1 repository listed
  Next, for each building in the query image, we retrieve the k nearest neighbors from the reference buildings using a Siamese network trained on both positive matching image pairs and negative pairs.
• Predicting Ground-Level Scene Layout from Aerial Imagery
  8 Dec 2016 1 repository listed
  We use our network to address the task of estimating the geolocation and geoorientation of a ground image.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.