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All-Frequency Rendering with Dynamic, Spatially-Varying Reflectance Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua Universi

Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

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Page 1: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

All-Frequency Rendering with Dynamic, Spatially-Varying Reflectance

Jiaping Wang1 Peiran Ren1,3 Minmin Gong1 John Snyder2 Baining Guo1,3

1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Page 2: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Complex, detailed reflectance Spatial/temporal variation All BRDF types:

parametric ↔ measuredisotropic ↔ anisotropicglossy ↔ mirror-like

Page 3: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Previous work

TemporalVariation

SpatialVariation

static

singleBRDF

SVBRDF

dynamic

Page 4: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Previous work

[Wang04]

[Ng03][Wang04][Liu04][Wang06][Tsai06][Krivanek08]

TemporalVariation

SpatialVariation

static

singleBRDF

SVBRDF

dynamic

Page 5: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Previous work

[Wang04]

[Green06][Green07]

[Green06]

TemporalVariation

SpatialVariation

static

singleBRDF

SVBRDF

dynamic

Page 6: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Previous work

[Wang04]

[Ben-Artzi06][Sun07][Ben-Artzi08]

[Green06]

[Ben-Artzi06]

TemporalVariation

SpatialVariation

static

singleBRDF

SVBRDF

dynamic

Page 7: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Previous work

[Wang04]

[Green06]

[Ben-Artzi06]

Our method:

- per-pixel SVBRDF- dynamic SVBRDF- all BRDF types- all-frequency

[Wang09]

TemporalVariation

SpatialVariation

static

singleBRDF

SVBRDF

dynamic

Page 8: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Rendering Equation 2D lighting 4D visibility 6D reflectance (SVBRDF)

iinioiio d )max(0,),( ),,()(),( xVxLxR SVBRDFlight visibility cosine

o in

x

Page 9: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Precomputed Radiance Transfer

Dot product[Sloan et al. 2002]

iinoiiio d )max(0, ),,(),()(),( xxVLxR

light transferlight

Page 10: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Precomputed Radiance Transfer

Dot product[Sloan et al. 2002]

Triple product [Ng et al. 2004]

light transferlight

Light Transport & Precomputed

BRDF × cosinelight visibility

iinoiiio d )max(0, ),,(),()(),( xxVLxR

Page 11: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Precomputed Radiance Transfer

Dot product[Sloan et al. 2002]

Triple product [Ng et al. 2004]

Ours method

light transferlight

BRDF × cosinelight visibility

iinoiiio d )max(0, ),,(),()(),( xxVLxR

light BRDFvisibility cosine

LT & P LT & P

Page 12: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Precomputed Radiance Transfer

Dot product[Sloan et al. 2002]

Triple product [Ng et al. 2004]

Ours method

light transferlight

BRDF × cosinelight visibility

light BRDFvisibility cosine

LT & P LT & P LT & P

iinoiiio d )max(0, ),,(),()(),( xxVLxR

Page 13: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Algorithm Overview

Spherical Gaussians

o

Spherical Gaussians

Page 14: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University
Page 15: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Algorithm Overview

Spherical Gaussians SSDF

o

Environment

Page 16: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Dynamic, spatial varying BRDF

Page 17: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

oOutline Reflectance Representation

Microfacet Model with SGs

Visibility Representation Signed Spherical Distance Function

Lighting & Rendering

Page 18: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

oOutline Reflectance Representation

Microfacet Model with SGs

Visibility Representation Signed Spherical Distance Function

Lighting & Rendering

Page 19: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

)1(),,;( pvpv eG

trivial rotationall-frequency signals

intensitysharpness

center

Spherical Gaussian (SG)

Page 20: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

trivial rotationall-frequency signals

)1(),,;( pvpv eG

intensitysharpness

center

Spherical Gaussian (SG)

inner product: m

m

d

d

eGGGG

sinh4d)()(

21

212121

vvv

vector product:

)1(

212121m,;)()( pp

p

pvvv meGGGGG mm

m

m

Page 21: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SG Mixtures

Sum of Multiple SGs:

Original SG, N = 7 SG, N = 3 SG, N = 1

),,;()(1

*iii

N

i

GF pvv

Page 22: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Microfacet BRDF Model

[Cook 82]

surface modeled by tiny mirror facets

Page 23: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Microfacet BRDF Model

[Cook 82]

surface modeled by tiny mirror facets

shadow term fresnel termnormal distribution

Represented by SG

Page 24: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

single-lobe, analytic approximationCook-Torrance [Cook et al. 1981]

Ward [Ward 1992]

Blinn-Phong [Blinn 1977]

)1,2,;()( 2))(arccos( 2

mGeD m nhh nh

)1,2,;()( 2)()))(1( 222

nhh nhnh GeD

)1,,;()()( nGD n nhnhh

Parametric Models

Page 25: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Parametric BRDFs

Page 26: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

nu=8, nv=128 nu=25, nv=400 nu=75, nv=1200

7-lo

be S

GM

grou

nd t

ruth

Anisotropic Parametric Models

Page 27: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Measured BRDFs

BRDF from [Matusik03] svBRDF from [Wang08] & [Lawance06]

Page 28: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Representation Efficiency Parametric BRDF

Texturing of original BRDF parameters isotropic : 7 float/texel: diffuse, specular, shininess Anisotropic: 8 float/texel: diffuse, specular, shininess u/v

Measured BRDFTexturing of SGs number

of SGsFloatsper SG

floats per texel

isotropic 1-3 4 4~12 + 3

anisotropic 2-7 6 12~42 + 3

Page 29: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

)(hD

Normal Distributionin Half-vector Domain

ohhoh )(2)(

)()( 1 ii DW

)(iW

BRDF Slicein light-vector

o

BRDF Slices

Half-vector Domain

oi

oih

Page 30: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SG Warping

SG not closed under -1

approx. by per-SG warp of D*

))(()( 1** ii DW

DW

DDDDW

DDDW

opp

oppopp

4)(

)(2)(

)(* hD

))(( 1* iD

)(* iW

Page 31: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SG Warping

SG not closed under -1

approx. by per-SG warp of D*

)(* hD

))(( 1* iD

)(* iW

))(()( 1** ii DW

DW

DDDDW

DDDW

opp

oppopp

4)(

)(2)(

Page 32: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Parametric svBRDF Painting

Page 33: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

oOutline Reflectance Representation

Microfacet Model with SGs

Visibility Representation Signed Spherical Distance Function

Lighting & Rendering

Page 34: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Visibility at one point

scene binary visibility function

x V(x,i)

Page 35: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Visibility Prerequisite Preserve sharp visibility boundary

inner product for Diffuse Term

vector product for Specular Term

iiinio d ),()max(0,)(),( xVLxRd

SGs ?

iiiinoio d )(),()max(0, ),,(),( LxVxxRs SGs ?

Page 36: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

0)(if),arccos(min

1)(if),arccos(min)(

1)(

0)(

iit

iiti

t

t

V

VV

V

Vd

binary visibility, V(i)

i0

i1

SSDF, Vd (i)

Vd(i1)

Vd(i0)

Spherical Signed Distance Function

Page 37: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SSDF-SG Product

SSDF Visibility

Page 38: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SSDF-SG Product

p p

p

SG centered at p

SSDF Visibility

p≈

Approx. Visibility for p

p

Approx. Visibility for p

Page 39: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SSDF-SG Product

p p

p

SG centered at p

SSDF Visibility

p≈

Approx. Visibility for p

=0.329

Inner product vector product

Page 40: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Per-pixel Shading & Shadowing

Page 41: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

oOutline Reflectance Representation

Microfacet Model with SGs

Visibility Representation Signed Spherical Distance Function

Lighting & Rendering

Page 42: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Point light

directional light

sr

GL ,ln

,;)(2

* pii

22

2

* ,ln

,;),(xp

s

r

xp

xp

xpGxL

ii

Local Light Source

Page 43: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

prefiltered MIPMAP[Kautz et al. 2000]

SGs (10 lobes)[Tsai and Shih 2006]

for diffuse shading for specular shading

Environment Light

Page 44: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

prefiltered MIPMAP[Kautz et al. 2000]

SGs (10 lobes)[Tsai and Shih 2006]

for diffuse shading for specular shading

Environment Light

Page 45: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Environment + Local Lighting

Page 46: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Rendering Summary: Diffuse

Microfacet Model Environment Light

Page 47: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Rendering Summary: Diffuse

Microfacet Model Environment Light

Visibilityin SSDF

BRDF Slicein SGs

Cosine Termin SGs

Environmentin SGs

Page 48: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Rendering Summary: Specular

Microfacet Model Environment Light

BRDF Slicein SGs

Cosine Termin SGs

Visibilityin SSDF

PrefilteredEnvironment

Page 49: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Performance SummaryScene BRDF Type

svBRDFResolusion

svBRDFSize

Env. FPS

Pt. FPS

Teapot CT (iso. 1 SG) 1024×1024 7.2MB 171 250

Dragon Ward (iso. 1 SG) 512×512 1.8MB 165 231

DishBall AS (aniso. 7 SGs) 512×1024 4.1MB 55 30

DishCardcard(iso. 2 SGs) 512×512 4.2MB

satin(aniso. 5 SGs) 850×850 22.4MB 48 35

velvet (aniso. 2SGs) 850×850 9.4MB 168 145

Testing MachineIntel Core2 Duo 3.2G CPU, 4GB memorynVidia Geforce 8800 Ultra graphics card

Page 50: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Performance SummaryScene BRDF Type

svBRDFResolusion

svBRDFSize

Env. FPS

Pt. FPS

Teapot CT (iso. 1 SG) 1024×1024 7.2MB 171 250

Dragon Ward (iso. 1 SG) 512×512 1.8MB 165 231

DishBall AS (aniso. 7 SGs) 512×1024 4.1MB 55 30

DishCardcard(iso. 2 SGs) 512×512 4.2MB

satin(aniso. 5 SGs) 850×850 22.4MB 48 35

velvet (aniso. 2SGs) 850×850 9.4MB 168 145

Testing MachineIntel Core2 Duo 3.2G CPU, 4GB memorynVidia Geforce 8800 Ultra graphics card

Page 51: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

bump mapsdynamic BRDFs

anisotropic BRDFs

measured BRDFs

All-Frequency Visual Effects

Page 52: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

parametric BRDFs

measured SVBRDFs

Reflectance Painting

Page 53: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Conclusion Overall method:

glossy to mirror-like, detailed, dynamic reflectanceall-frequency shadowsreal-time per-pixel shading

SG mixtures for microfacet-based reflectancecompact yet accuratefast rotation, warping, products

SSDFs for visibilityfast products with SG mixturesnon-ghosting spatial interpolation

Page 54: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Conclusion Overall method:

glossy to mirror-like, detailed, dynamic reflectanceall-frequency shadowsreal-time per-pixel shading

SG mixtures for microfacet-based reflectancecompact yet accuratefast rotation, warping, products

SSDFs for visibilityfast products with SG mixturesnon-ghosting spatial interpolation

Page 55: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Future work dynamic visibility inter-reflection anisotropic spherical Gaussian SSDF compression simpler SVBRDF acquisition

Page 56: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Future work dynamic visibility inter-reflection anisotropic spherical Gaussian SSDF compression simpler SVBRDF acquisition

Page 57: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Thank you for your attention.

Page 58: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University
Page 59: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Visibility Cuts [Cheslack-Postava et al.2008]

Light-cut frameworkNo highly glossy reflectanceHighly tessellationNot real-time

Page 60: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SG Scaling Shadowing and Fresnel terms

Assume low-frequency [Ashkmin01, Ngan05]

approx. by per-SG scale

))((4

),()()(

nn

FSSW

WWW

W

W

op

opop

pp

Page 61: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SSDF Compression

PCA:

M

jj

dj

d xwVxV1

)()(),( ii

binary visibility SSDF compressed SSDF

Page 62: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

Error sources BRDF fitting error diffuse light fitting error SG warping error SSDF-SG product error SSDF compression error

Page 63: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SSDF-SG product errorvisibility function is approximateproduct is approximateinner product error typically less than 2%vector product error larger, but not visually

significanterror decreases as λ increases

Page 64: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SG mixtures

N-lobe approximation

violet-acrylic NDF [Ngan et al. 2005]

original SG, N = 3L2 = 6.2%

SG, N = 2L2 = 8.2%

SG, N = 1L2 = 25%

),,;()(1

*iii

N

i

GF pvv

Page 65: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

SG representation of lighting distant light → environment map (EM)

diffuse shading: ○ fit EM with SG mixture (10 lobes) [Tsai and Shih 2006]

specular shading: ○ prefilter EM with SGs of various λ [Kautz et al. 2000]

Page 66: Jiaping Wang 1 Peiran Ren 1,3 Minmin Gong 1 John Snyder 2 Baining Guo 1,3 1 Microsoft Research Asia 2 Microsoft Research 3 Tsinghua University

EM Prefiltering with SGs

……

MIPMAP of prefiltered cubemapsλ reduced by 1/4 per level

λ=21000,level 1

λ =329, level 4 λ =5.1,

level 7