awesome-intrinsic-image-video-decomposition

A collection of Intrinsic Image/Video Decomposition based on traditional methods and deep learning methods

Intrinsic Image Decomposition (Traditional method)

• Lightness and Retinex Theory (Journal of the Optical Society of America 1971)[Paper]
• Determining Lightness from an Image (Computer graphics and image processing 1974)[Paper]
• Deriving intrinsic images from image sequences (ICCV 2001) [Paper]
• Intrinsic Image Decomposition with Non-Local Texture Cues (CVPR 2008) [Paper]
• Intrinsic Image Decomposition Using Color Invariant Edge (ICIG 2009) [Paper]
• Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance (Advances in neural information processing systems 2011) [Paper]
• Intrinsic Images Using Optimization (CVPR 2011) [Paper]
• Shape, Albedo, and Illumination from a Single Image of an Unknown Object (CVPR 2012) [Paper]
• Intrinsic scene properties from a single RGB-D image (CVPR 2013) [Paper]
• Self-Supervised Intrinsic Image Decomposition (NIPS 2013) [Paper][Code]
• Shape, illumination, and reflectance from shading (TPAMI 2014) [Paper]
• Intrinsic Images in the Wild (TOG 2014) [Project]
• Learning Lightness from Human Judgement on Relative Reflectance (CVPR 2015) [Paper]
• An L 1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition (SIGGRAPH 2015) [Paper]
• Reflectance Adaptive Filtering Improves Intrinsic Image Estimation (CVPR 2017) [Paper]

Intrinsic Video Decomposition (Traditional method)

• Intrinsic Video and Applications (TOG 2014) [Project]
• Interactive intrinsic video editing (TOG 2014)[Project]
• Blind video temporal consistency (TOG 2015) [Project]
• Live Intrinsic Video (TOG 2016 [Project]
• Re-texturing by intrinsic video (DICTA 2019) [Papre]

Intrinsic Image Decomposition (Deep learning method)

• Learning Lightness from Human Judgement on Relative Reflectance (CVPR 2015)[Paper]
• Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition (ICCV 2015)[Paper]
• Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression (ICCV 2015) [Paper]
• Scene Intrinsics and Depth from a Single Image (ICCV 2015) [Paper]
• Learning Ordinal Relationships for Mid-Level Vision (ICCV 2015) [Paper]
• Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture (ICCV 2015) [Paper]
• Learning Non-Lambertian Object Intrinsics across ShapeNet Categories (CVPR 2017) [Paper]
• Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks (CVPR 2017) [Paper]
• CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering (ECCV 2018) [Project]
• Revisiting Deep Intrinsic Image Decompositions (CVPR 2018) [Paper]
• SfSNet: Learning Shape, Reflectance and Illuminance of Faces ‘in the wild’ (CVPR 2018) [Paper]
• Intrinsic Image Transformation via Scale Space Decomposition (CVPR 2018) [Paper]
• Learning intrinsic image decomposition from watching the world (CVPR 2018) [Paper]
• InverseRenderNet: Learning single image inverse rendering (CVPR 2019) [Paper]
• Unsupervised Learning for Intrinsic Image Decomposition from a Single Image (CVPR 2020) [Paper]

Intrinsic Video Decomposition (Deep learning method)

• Learning Blind Video Temporal Consistency (ECCV 2018) [Project][code]

Datasets

• MIT Intrinsic Image Dataset[Data]
• Intrinsic Image in the Wild (IIW) Dataset[Data]
• MPI Sintel Dataset[Data]
• DAVIS (Densely Annotated VIdeo Segmentation)[Data]