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Intrinsic Image Decomposition

Intrinsic Image Decomposition is the process of separating an image into its formation components such as reflectance (albedo) and shading (illumination). Reflectance is the color of the object, invariant to camera viewpoint and illumination conditions, whereas shading, dependent on camera viewpoint and object geometry, consists of different illumination effects, such as shadows, shading and inter-reflections. Using intrinsic images, instead of the original images, can be beneficial for many computer vision algorithms. For instance, for shape-from-shading algorithms, the shading images contain important visual cues to recover geometry, while for segmentation and detection algorithms, reflectance images can be beneficial as they are independent of confounding illumination effects. Furthermore, intrinsic images are used in a wide range of computational photography applications, such as material recoloring, relighting, retexturing and stylization.

Source: CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition

Papers

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Showing 51–75 of 85 papers

TitleStatusHype
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces—0
Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition—0
Learning Intrinsic Images for Clothing—0
Learning Lightness From Human Judgement on Relative Reflectance—0
Learning Ordinal Relationships for Mid-Level Vision—0
Learning to Factorize and Relight a City—0
Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation—0
Light Source Separation and Intrinsic Image Decomposition Under AC Illumination—0
Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation—0
Non-Local Intrinsic Decomposition With Near-Infrared Priors—0
Objective, Absolute and Hue-aware Metrics for Intrinsic Image Decomposition on Real-World Scenes: A Proof of Concept—0
Single-image Reflectance and Transmittance Estimation from Any Flatbed Scanner—0
The Photometry of Intrinsic Images—0
Physics-based Shading Reconstruction for Intrinsic Image Decomposition—0
Towards Geometry Guided Neural Relighting with Flash Photography—0
PRISM: A Unified Framework for Photorealistic Reconstruction and Intrinsic Scene Modeling—0
SAIL: Self-supervised Albedo Estimation from Real Images with a Latent Diffusion Model—0
Self-Supervised Intrinsic Image Decomposition—0
Self-Supervised Intrinsic Image Decomposition Network Considering Reflectance Consistency—0
Semantic Hierarchical Priors for Intrinsic Image Decomposition—0
Shading Annotations in the Wild—0
An Optical physics inspired CNN approach for intrinsic image decomposition—0
A Novel Intrinsic Image Decomposition Method to Recover Albedo for Aerial Images in Photogrammetry Processing—0
A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond—0
A Theory of Joint Light and Heat Transport for Lambertian Scenes—0
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