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: 20.1% (δ: 0.1), Runtime: 95.7 s, Num. judgements: 124. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 24.2% (δ: 0.1), Runtime: 95.8 s, Num. judgements: 145. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 23.4% (δ: 0.1), Runtime: 96.3 s, Num. judgements: 188. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 0.0% (δ: 0.1), Runtime: 96.3 s, Num. judgements: 79. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 24.9% (δ: 0.1), Runtime: 96.4 s, Num. judgements: 135. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 8.9% (δ: 0.1), Runtime: 96.8 s, Num. judgements: 126. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 6.9% (δ: 0.1), Runtime: 97.0 s, Num. judgements: 1088. View human reflectance judgements.

Image

Reflectance

Shading

WHDR: 13.0% (δ: 0.1), Runtime: 97.4 s, Num. judgements: 145. View human reflectance judgements.