GNN Radiosity — Cornell Box

GRAPH NEURAL NETWORK GLOBAL ILLUMINATION · OBSTACLE DEMO

SCENE Cornell Box
PATCHES —
EDGES —
0bounces
RECOMPUTING FF…
DRAG BOX ON FLOOR TO MOVE
制御 / Control
INTERVAL180ms
GNN Statistics
BOUNCE ( GNN LAYER )0
ROOM PATCHES—
BOX PATCHES—
ACTIVE EDGES—
TOTAL ENERGY—
Convergence ( 25 bounces )
0510152025
ΔERR
—
Parameters
LIGHT POWER14
EXPOSURE22
SUBDIVISIONS N5
Box Position
X: 0.30   Z: 0.30
W: 0.22   H: 0.38   D: 0.22
BOX HEIGHT38%
BOX SIZE22%
Visualize
GNN ↔ Radiosity
B_i = E_i + ρ_i · Σ_j(F_ij·B_j) F_ij = 0 if box occludes i↔j layer l = bounce count box move → FF rebuild → GNN restarted from l=0
Legend
床・天井・後壁（白）
光源パッチ
左壁（赤）
右壁（緑）
障害物ボックス
GNN エッジ（FF）