Image Rescaling

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

18 leaderboard tables shown for this task, 18 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. 10 shown of 18 until expanded.

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

2 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

11 shown of 11 papers with code (22 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.

• Invertible Image Rescaling
  12 May 2020 11 repositories listed Syntology ran 3 of 17 samples · 14 unverified
  High-resolution digital images are usually downscaled to fit various display screens or save the cost of storage and bandwidth, meanwhile the post-upscaling is adpoted to recover the original resolutions or the details…
• Geolocating Earth Imagery from ISS: Integrating Machine Learning with Astronaut Photography for Enhanced Geographic Mapping
  29 Apr 2025 1 repository listed
  Each pipeline is tailored to process high-resolution ISS imagery, identifying both natural and man-made geographical features.
• Plug-and-Play Tri-Branch Invertible Block for Image Rescaling
  18 Dec 2024 1 repository listed
  High-resolution (HR) images are commonly downscaled to low-resolution (LR) to reduce bandwidth, followed by upscaling to restore their original details.
• Thermal Chameleon: Task-Adaptive Tone-mapping for Radiometric Thermal-Infrared images
  24 Oct 2024 1 repository listed
  Thermal Infrared (TIR) imaging provides robust perception for navigating in challenging outdoor environments but faces issues with poor texture and low image contrast due to its 14/16-bit format.
• Real-time 6K Image Rescaling with Rate-distortion Optimization
  3 Apr 2023 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  Then, an efficient frequency-aware decoder reconstructs a high-fidelity HR image from the LR one in real time.
• Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
  4 Mar 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverified
  In this paper, we propose the Self-Asymmetric Invertible Network (SAIN) for compression-aware image rescaling.
• DINN360: Deformable Invertible Neural Network for Latitude-Aware 360deg Image Rescaling
  1 Jan 2023 1 repository listed
  To alleviate this issue, we propose the first attempt at 360deg image rescaling, which refers to downscaling a 360deg image to a visually valid low-resolution (LR) counterpart and then upscaling to a high-resolution…
• Invertible Rescaling Network and Its Extensions
  9 Oct 2022 1 repository listed
  To be specific, we develop invertible models to generate valid degraded images and meanwhile transform the distribution of lost contents to the fixed distribution of a latent variable during the forward degradation.
• Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network
  24 Jul 2022 1 repository listed
  Normalizing flow models have been used successfully for generative image super-resolution (SR) by approximating complex distribution of natural images to simple tractable distribution in latent space through Invertible…
• Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations
  1 Jan 2022 1 repository listed
  This paper presents a Generative prior ReciprocAted Invertible rescaling Network (GRAIN) for generating faithful high-resolution (HR) images from low-resolution (LR) invertible images with an extreme upscaling factor…
• Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
  11 Aug 2021 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  More specifically, HCFlow learns a bijective mapping between HR and LR image pairs by modelling the distribution of the LR image and the rest high-frequency component simultaneously.

Syntology lines on 4 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.