Intrinsic Image Decomposition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

8 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.

Most implemented papers archive 2025-07-28

28 shown of 28 papers with code (85 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.

• Exploiting Diffusion Prior for Generalizable Dense Prediction
  30 Nov 2023 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  Contents generated by recent advanced Text-to-Image (T2I) diffusion models are sometimes too imaginative for existing off-the-shelf dense predictors to estimate due to the immitigable domain gap.
• Intrinsic Image Decomposition via Ordinal Shading
  21 Nov 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We encourage the model to learn an accurate decomposition by computing losses on the estimated shading as well as the albedo implied by the intrinsic model.
• Illumination-Aware Image Quality Assessment for Enhanced Low-light Image
  22 Oct 2021 2 repositories listed
  To reduce the overshoot effects of LIE, this paper proposes an illumination-aware image quality assessment, called LIE-IQA, for the enhanced low-light images.
• Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
  22 Nov 2019 2 repositories listed
  Intrinsic image decomposition, which is an essential task in computer vision, aims to infer the reflectance and shading of the scene.
• EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training
  19 Jun 2025 1 repository listed
  However, the effective training strategy for multiple modules are still critical to deal with both illumination issues and information interference for self-supervised depth estimation in endoscopy.
• PS-Diffusion: Photorealistic Subject-Driven Image Editing with Disentangled Control and Attention
  1 Jan 2025 1 repository listed
  The effect of the former is estimated through intrinsic image decomposition, and the region of the latter is predicted in an additional background effect control branch.
• MLI-NeRF: Multi-Light Intrinsic-Aware Neural Radiance Fields
  26 Nov 2024 1 repository listed
  By leveraging scene information provided by different light source positions complementing the multi-view information, we generate pseudo-label images for reflectance and shading to guide intrinsic image decomposition…
• Colorful Diffuse Intrinsic Image Decomposition in the Wild
  20 Sep 2024 1 repository listed
  Intrinsic image decomposition aims to separate the surface reflectance and the effects from the illumination given a single photograph.
• A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse Rendering
  4 Sep 2024 1 repository listed
  Modeling outdoor scenes for the synthetic 3D environment requires the recovery of reflectance/albedo information from raw images, which is an ill-posed problem due to the complicated unmodeled physics in this process (e.
• HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding
  25 Nov 2023 1 repository listed
  To address this limitation, this study rethinks hyperspectral intrinsic image decomposition for classification tasks by introducing deep feature embedding.
• Intrinsic Image Decomposition Using Point Cloud Representation
  20 Jul 2023 1 repository listed
  The purpose of intrinsic decomposition is to separate an image into its albedo (reflective properties) and shading components (illumination properties).
• DPF: Learning Dense Prediction Fields with Weak Supervision
  29 Mar 2023 1 repository listed Syntology ran 23 of 34 samples · 11 unverified · 34 pointer-only (licence)
  We showcase the effectiveness of DPFs using two substantially different tasks: high-level semantic parsing and low-level intrinsic image decomposition.
• Unsupervised Intrinsic Image Decomposition with LiDAR Intensity
  20 Mar 2023 1 repository listed
  Intrinsic image decomposition (IID) is the task that decomposes a natural image into albedo and shade.
• Seeing a Rose in Five Thousand Ways
  9 Dec 2022 1 repository listed
  These instances all share the same intrinsics, but appear different due to a combination of variance within these intrinsics and differences in extrinsic factors, such as pose and illumination.
• Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
  27 Nov 2022 1 repository listed
  To further enforce the reflectance layer to be independent of shadows and specularities in the second-stage refinement, we introduce an S-Aware network that distinguishes the reflectance image from the input image.
• SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes
  30 Aug 2022 1 repository listed
  An ablation study is conducted showing that the use of the proposed priors and progressive CNN increase the IID performance.
• Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos
  4 May 2022 1 repository listed
  We develop a method termed ShoeRinsics that learns to predict depth by leveraging a mix of fully supervised synthetic data and unsupervised retail image data.
• PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition
  30 Mar 2022 1 repository listed
  An extensive ablation study and large scale experiments are conducted showing that it is beneficial for edge-driven hybrid IID networks to make use of illumination invariant descriptors and that separating global and…
• Complementary Feature Enhanced Network with Vision Transformer for Image Dehazing
  15 Sep 2021 1 repository listed
  In this paper, firstly, we propose a new complementary feature enhanced framework, in which the complementary features are learned by several complementary subtasks and then together serve to boost the performance of…
• Intrinsic Image Transfer for Illumination Manipulation
  1 Jul 2021 1 repository listed
  We illustrate that all losses can be reduced without the necessity of taking an intrinsic image decomposition under the well-known spatial-varying illumination illumination-invariant reflectance prior knowledge.
• Physically Inspired Dense Fusion Networks for Relighting
  5 May 2021 1 repository listed
  While our proposed method applies to both one-to-one and any-to-any relighting problems, for each case we introduce problem-specific components that enrich the model performance: 1) For one-to-one relighting we…
• Outdoor inverse rendering from a single image using multiview self-supervision
  12 Feb 2021 1 repository listed
  In this paper we show how to perform scene-level inverse rendering to recover shape, reflectance and lighting from a single, uncontrolled image using a fully convolutional neural network.
• Intrinsic Decomposition of Document Images In-the-Wild
  29 Nov 2020 1 repository listed
  However, document shadow or shading removal results still suffer because: (a) prior methods rely on uniformity of local color statistics, which limit their application on real-scenarios with complex document shapes and…
• ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
  9 Dec 2019 1 repository listed
  The aim is to distinguish strong photometric effects from reflectance variations.
• Learning Blind Video Temporal Consistency
  1 Aug 2018 1 repository listed
  Our method takes the original unprocessed and per-frame processed videos as inputs to produce a temporally consistent video.
• Joint Learning of Intrinsic Images and Semantic Segmentation
  31 Jul 2018 1 repository listed
  To that end, we propose a supervised end-to-end CNN architecture to jointly learn intrinsic image decomposition and semantic segmentation.
• Learning Intrinsic Image Decomposition from Watching the World
  2 Apr 2018 1 repository listed
  However, it is difficult to collect ground truth training data at scale for intrinsic images.
• Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields
  21 Mar 2016 1 repository listed
  We present a method for jointly predicting a depth map and intrinsic images from single-image input.

Syntology lines on 3 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.