/awesome-intrinsic-image-video-decomposition

A collection of intrinsic image/video decomposition based on traditional methods and deep learning methods

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awesome-intrinsic-image-video-decomposition

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

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)

Datasets

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