inverse tone mapping

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

17 shown of 17 papers with code (35 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.

• Luminance Attentive Networks for HDR Image and Panorama Reconstruction
  14 Sep 2021 2 repositories listed
  Based on this observation, we propose a novel normalization method called " HDR calibration " for HDR images stored in relative luminance, calibrating HDR images into a similar luminance scale according to the LDR…
• Deep Video Inverse Tone Mapping Based on Temporal Clues
  1 Jan 2024 1 repository listed
  Although many deep image ITM methods can generate impressive results the field of video ITM is still to be explored.
• Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Display
  29 Sep 2023 1 repository listed
  The latter requires more efficiency, thus the pre-calculated LUT (look-up table) has become a popular solution.
• Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction
  7 Sep 2023 1 repository listed
  To address this, we propose the continuous exposure value representation (CEVR), which uses an implicit function to generate LDR images with arbitrary EVs, including those unseen during training.
• Generalized Lightness Adaptation with Channel Selective Normalization
  26 Aug 2023 1 repository listed Syntology ran 7 of 11 samples · 4 unverified
  Existing methods typically work well on their trained lightness conditions but perform poorly in unknown ones due to their limited generalization ability.
• Lightweight Improved Residual Network for Efficient Inverse Tone Mapping
  8 Jul 2023 1 repository listed
  But the majority of media images on the internet remain in 8-bit standard dynamic range (SDR) format.
• Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping
  30 Sep 2022 1 repository listed
  Many image enhancement or editing operations, such as forward and inverse tone mapping or color grading, do not have a unique solution, but instead a range of solutions, each representing a different style.
• Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
  20 Sep 2022 1 repository listed
  To achieve super-resolution inverse tone mapping, we derive a continuous representation of 360-degree imaging from the LDR panorama as a set of structured latent codes anchored to the sphere.
• Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark
  7 Jul 2022 1 repository listed
  Joint Super-Resolution and Inverse Tone-Mapping (joint SR-ITM) aims to increase the resolution and dynamic range of low-resolution and standard dynamic range images.
• A Mixed Quantization Network for Computationally Efficient Mobile Inverse Tone Mapping
  12 Mar 2022 1 repository listed
  Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR) image, namely inverse tone mapping (ITM), is challenging due to the lack of information in over- and under-exposed regions.
• Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?
  11 Feb 2022 1 repository listed
  Recently, Deep Learning-based methods for inverse tone-mapping standard dynamic range (SDR) images to obtain high dynamic range (HDR) images have become very popular.
• End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images
  29 Jun 2020 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  We tackle the problem in stack reconstruction-based methods by proposing a novel framework with a fully differentiable high dynamic range imaging (HDRI) process.
• Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
  2 Apr 2020 1 repository listed
  We model the HDRto-LDR image formation pipeline as the (1) dynamic range clipping, (2) non-linear mapping from a camera response function, and (3) quantization.
• Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
  25 Apr 2019 1 repository listed
  Joint SR and ITM is an intricate task, where high frequency details must be restored for SR, jointly with the local contrast, for ITM.
• Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks
  1 Sep 2018 1 repository listed
  Because most images have a low dynamic range, recovering the lost dynamic range from a single low dynamic range image is still prevalent.
• ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content
  6 Mar 2018 1 repository listed
  This paper presents a method for generating HDR content from LDR content based on deep Convolutional Neural Networks (CNNs) termed ExpandNet.
• Deep reverse tone mapping
  20 Nov 2017 1 repository listed
  Inferring a high dynamic range (HDR) image from a single low dynamic range (LDR) input is an ill-posed problem where we must compensate lost data caused by under-/over-exposure and color quantization.

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.