Intrinsic Image Decompositions

This page lists the decompositions for all 5230 photos, using this algorithm:

Sean Bell, Kavita Bala, Noah Snavely. "Intrinsic Images in the Wild". ACM Transactions on Graphics (SIGGRAPH 2014). http://intrinsic.cs.cornell.edu.

and these parameters:

abs reflectance weight: 0
abs shading gray point: 0.5
abs shading weight: 500.0
chromaticity weight: 0
kmeans intensity scale: 0.5
kmeans n clusters: 20
n iters: 25
pairwise intensity chromaticity: True
pairwise weight: 10⁴
shading blur init method: none
shading blur sigma: 0.1
shading target norm: L2
shading target weight: 20000.0
split clusters: True
theta c: 0.025
theta l: 0.1
theta p: 0.1

View all algorithms.

Image

Reflectance

Shading

WHDR: 9.3% (δ: 0.1), Runtime: 125.5 s, Num. judgements: 175. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 9.3% (δ: 0.1), Runtime: 127.5 s, Num. judgements: 159. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 9.3% (δ: 0.1), Runtime: 294.9 s, Num. judgements: 73. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 9.3% (δ: 0.1), Runtime: 120.5 s, Num. judgements: 165. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 9.3% (δ: 0.1), Runtime: 141.0 s, Num. judgements: 81. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 9.3% (δ: 0.1), Runtime: 118.1 s, Num. judgements: 106. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 9.3% (δ: 0.1), Runtime: 216.0 s, Num. judgements: 64. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 9.3% (δ: 0.1), Runtime: 240.7 s, Num. judgements: 62. View human reflectance judgements.