Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes | Paper Citation Record

Observation 2dfa462b-60bb-43e4-b33d-384a00b96682 · outbound

This paper cites Aperture diffraction for compact snapshot spectral imaging,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Aperture diffraction for compact snapshot spectral imaging,

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This paper cites Compact self-adaptive coding for spectral compressive sensing,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Compact self-adaptive coding for spectral compressive sensing,

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This paper cites Evaluation of prospect inversion approaches using multi-angular spectral reflectance factor of leaves,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Evaluation of prospect inversion approaches using multi-angular spectral reflectance factor of leaves,

Reference 3

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Observation 5dce0b7b-d965-43c1-8814-bb884e860d7f · outbound

This paper cites Decomposing multispectral face images into diffuse and specular shading and biophysical parameters,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Decomposing multispectral face images into diffuse and specular shading and biophysical parameters,

Reference 4

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This paper cites Multispectral illumination estimation using deep unrolling network,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Multispectral illumination estimation using deep unrolling network,

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This paper cites Multispectral photometric stereo for acquiring high-fidelity surface normals,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Multispectral photometric stereo for acquiring high-fidelity surface normals,

Reference 6

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Observation 3b9e4703-731b-4334-bf9e-4a1096518463 · outbound

This paper cites Intrinsic decomposition from a single spectral image,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Intrinsic decomposition from a single spectral image,

Reference 7

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This paper cites Multispectral image intrinsic decomposition via subspace constraint,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Multispectral image intrinsic decomposition via subspace constraint,

Reference 8

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Observation 99d03796-e5e7-4a91-b7f5-827c6aa8d4ad · outbound

This paper cites Optimal solution of the dichromatic model for multispectral photometric invariance,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Optimal solution of the dichromatic model for multispectral photometric invariance,

Reference 9

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This paper cites A solution of the dichromatic model for multispectral photometric invariance,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes A solution of the dichromatic model for multispectral photometric invariance,

Reference 10

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Observation a8248f03-96a7-43a6-93c9-605d6dddb8b1 · outbound

This paper cites Efficient estimation of reflectance parameters from imaging spectroscopy,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Efficient estimation of reflectance parameters from imaging spectroscopy,

Reference 11

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This paper cites Shape, illumination, and reflectance from shading,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Shape, illumination, and reflectance from shading,

Reference 12

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Observation 6e7b6805-9e4a-41a1-ab34-224b4311ceb6 · outbound

This paper cites Intrinsic rgb and multispectral images recovery by independent quadratic programming,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Intrinsic rgb and multispectral images recovery by independent quadratic programming,

Reference 13

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Observation 083c02eb-a118-48d2-a439-16ff63ba7c67 · outbound

This paper cites Using color to separate reflection components,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Using color to separate reflection components,

Reference 14

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Observation 8857c644-d56a-481f-971e-268c55c52bb3 · outbound

This paper cites A benchmark dataset and evaluation for non-lambertian and uncalibrated photometric stereo,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes A benchmark dataset and evaluation for non-lambertian and uncalibrated photometric stereo,

Reference 15

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Observation e729b197-dbbc-44ee-a616-13aa127a14d5 · outbound

This paper cites Towards high-resolution specular highlight detection,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Towards high-resolution specular highlight detection,

Reference 16

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Observation 583dff2e-c098-424e-a144-ec5a7e163abc · outbound

This paper cites Estimating reflectance parameters of an object from saturated spectral images,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Estimating reflectance parameters of an object from saturated spectral images,

Reference 17

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Observation ca8e0eea-9489-4ddc-acde-7eea514ef3f8 · outbound

This paper cites Saturated signals in spectroscopic imaging: why and how should we deal with this regularly observed phenomenon?.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Saturated signals in spectroscopic imaging: why and how should we deal with this regularly observed phenomenon?

Reference 18

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Observation 3dd9e3b9-8ea2-4f5f-8d1d-bbbc71e4fb5c · outbound

This paper cites Recovering intrinsic scene characteristics,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Recovering intrinsic scene characteristics,

Reference 19

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Observation 64e04554-e579-4a0d-956d-7745a5fa2432 · outbound

This paper cites Lightness and retinex theory,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Lightness and retinex theory,

Reference 20

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Observation 0a77081b-a932-480b-8bf0-c3d27b0f5d5c · outbound

This paper cites Deriving intrinsic images from image sequences,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Deriving intrinsic images from image sequences,

Reference 21

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Observation 9e0a8048-04cf-4da5-8e49-27d936fb2f3e · outbound

This paper cites Re- covering intrinsic images with a global sparsity prior on reflectance,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Re- covering intrinsic images with a global sparsity prior on reflectance,

Reference 22

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Observation 22697b69-241d-43bf-b568-5dfef5ba6307 · outbound

This paper cites Towards high-quality intrinsic images in the wild,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Towards high-quality intrinsic images in the wild,

Reference 23

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Observation 342395b7-f506-4c0f-8c65-1fc5d62f9c0d · outbound

This paper cites A closed-form solution to retinex with nonlocal texture constraints,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes A closed-form solution to retinex with nonlocal texture constraints,

Reference 24

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Observation 828845d2-bd24-47df-98d2-f83067311860 · outbound

This paper cites Intrinsic image decomposition using a sparse representation of reflectance,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Intrinsic image decomposition using a sparse representation of reflectance,

Reference 25

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Observation 9a352669-5208-4000-b69f-c03befe3701b · outbound

This paper cites Intrinsic image decomposition with non- local texture cues,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Intrinsic image decomposition with non- local texture cues,

Reference 26

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Observation 59ed8c75-999d-4762-adf1-d16403fa0cc4 · outbound

This paper cites Single image layer separation using relative smoothness,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Single image layer separation using relative smoothness,

Reference 27

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Observation 648d8b6e-2d56-4f4d-8a0d-1eacc258c269 · outbound

This paper cites An l 1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes An l 1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition,

Reference 28

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Observation a4c18fa3-8ebe-41b4-b632-dc361abcd873 · outbound

This paper cites Intrinsic image decom- position with step and drift shading separation,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Intrinsic image decom- position with step and drift shading separation,

Reference 29

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This paper cites Direct intrinsics: Learning albedo- shading decomposition by convolutional regression,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Direct intrinsics: Learning albedo- shading decomposition by convolutional regression,

Reference 30

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Observation 6b827f3e-a347-4d3c-8dde-11a4bab271b6 · outbound

This paper cites Enhancing intrinsic image decomposition with transformer and laplacian pyramid network.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Enhancing intrinsic image decomposition with transformer and laplacian pyramid network

Reference 31

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This paper cites Intrinsic image transformation via scale space decomposition,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Intrinsic image transformation via scale space decomposition,

Reference 32

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This paper cites Crefnet: Learning consis- tent reflectance estimation with a decoder-sharing transformer,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Crefnet: Learning consis- tent reflectance estimation with a decoder-sharing transformer,

Reference 33

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This paper cites Self-supervised intrinsic image decomposition,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Self-supervised intrinsic image decomposition,

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This paper cites Unsupervised learning for intrinsic image decomposition from a single image,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Unsupervised learning for intrinsic image decomposition from a single image,

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Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Eyeir: Single eye image inverse rendering in the wild,

Reference 36

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This paper cites Quadratic objective functions for dichromatic model parameters estimation,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Quadratic objective functions for dichromatic model parameters estimation,

Reference 37

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This paper cites An optimisation approach to the recovery of reflection parameters from a single hyperspectral image,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes An optimisation approach to the recovery of reflection parameters from a single hyperspectral image,

Reference 38

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This paper cites Estimating reflectance parameters, light direction, and shape from a single multispectral image,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Estimating reflectance parameters, light direction, and shape from a single multispectral image,

Reference 39

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This paper cites Multi- modal non-isotropic light source modelling for reflectance estimation in hyperspectral imaging,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Multi- modal non-isotropic light source modelling for reflectance estimation in hyperspectral imaging,

Reference 40

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This paper cites Spectral dichromatic parameter recovery from two views via total variation hyper-priors,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Spectral dichromatic parameter recovery from two views via total variation hyper-priors,

Reference 41

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This paper cites SpectralGaussians: Semantic, spectral 3D Gaussian splatting for multi-spectral scene representation, visualization and analysis.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes SpectralGaussians: Semantic, spectral 3D Gaussian splatting for multi-spectral scene representation, visualization and analysis

Reference 42

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This paper cites Multispectral photometric stereo for spatially-varying spectral reflectances: A well posed problem?.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Multispectral photometric stereo for spatially-varying spectral reflectances: A well posed problem?

Reference 43

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This paper cites Multispectral photometric stereo for spatially-varying spectral reflectances,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Multispectral photometric stereo for spatially-varying spectral reflectances,

Reference 44

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Observation 515f4546-2297-43a1-ac15-ad5cf2e73d4d · outbound

This paper cites Non-lambertian multi- spectral photometric stereo via spectral reflectance decomposition.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Non-lambertian multi- spectral photometric stereo via spectral reflectance decomposition

Reference 45

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This paper cites Shape and re- flectance reconstruction using concentric multi-spectral light field,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Shape and re- flectance reconstruction using concentric multi-spectral light field,

Reference 46

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Observation 612cdde7-74e3-43b6-a606-422b9c850ca5 · outbound

This paper cites Intrinsic image decomposition as two independent deconvolution problems,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Intrinsic image decomposition as two independent deconvolution problems,

Reference 47

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Observation f342e446-13db-4f0a-923e-4b22e8be9bce · outbound

This paper cites Mst++: Multi-stage spectral-wise transformer for efficient spectral reconstruction,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Mst++: Multi-stage spectral-wise transformer for efficient spectral reconstruction,

Reference 48

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This paper cites Restormer: Efficient transformer for high-resolution image restoration,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Restormer: Efficient transformer for high-resolution image restoration,

Reference 49

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Observation c57ebd1c-e89b-4200-90d7-2ff5e8ed16a9 · outbound

This paper cites Illumination intensity, object geometry and highlights invariance in multispectral imaging,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Illumination intensity, object geometry and highlights invariance in multispectral imaging,

Reference 50

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Observation 713c0855-2f48-4d2b-b7ed-0236b9ccdd5f · outbound

This paper cites Spectral invariant repre- sentation for spectral reflectance image,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Spectral invariant repre- sentation for spectral reflectance image,

Reference 51

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This paper cites Ground truth dataset and baseline evaluations for intrinsic image algorithms,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Ground truth dataset and baseline evaluations for intrinsic image algorithms,

Reference 52

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Observation 24feeab3-1dbd-4a8d-bb6e-848c34ed134b · outbound

This paper cites Illuminant estimation in multispectral imaging,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Illuminant estimation in multispectral imaging,

Reference 53

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Observation 6fa7bfb4-cd3b-4a3c-9d95-db5711952364 · outbound

This paper cites Illumination separation of non-lambertian scenes from a single hyperspectral image,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Illumination separation of non-lambertian scenes from a single hyperspectral image,

Reference 54

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Observation a758c306-f5d9-4da1-ab7b-6f0860f00b15 · outbound

This paper cites Shades of gray and colour constancy,.

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Shades of gray and colour constancy,

Reference 55

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Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Specularity removal from imaging spec- troscopy data via entropy minimisation,

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Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Separating reflection components of textured surfaces using a single image,

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Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes Cbam: Convolutional block attention module,

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