Deep Compositional Denoising for High-quality Monte Carlo Rendering
Pixel-based Methods - Hyperion Dataset
Comparing with KPAL baselines on a selection of scenes from our Hyperion evaluation dataset.
Shot 1
Shot 2
Shot 3
Shot 4
Shot 5
Shot 6
Shot 7
Shot 8
Shot 9
Shot 10
Shot 11
Shot 12
Shot 13
Pixel-based Methods - Mitsuba Dataset
Comparing with KPAL baselines on a selection of scenes from our Mitsuba testing dataset.
The Breakfast Room
The White Room
Salle de bain
Old vintage car
Victorian Style House
Japanese Classroom
Sponza
Kitchen 1
Kitchen 2
The Grey and White Room 1
The Grey and White Room 2
The Grey and White Room 3
Breakfast Room 1
Contemporary Bathroom
Material Test Ball
Motion Blur Ball
Teapot 1
Teapot 2
Teapot 3
House 1
Bedroom 2
Bathroom 0
Bathroom2 0
Bedroom 0
Classroom 0
Coffee 0
Breakfast Room 0
House 0
Kitchen 0
Staircase 0
Comparing with Direct-predicting Method (GAN) - Tungsten Dataset
Comparing with the GAN method [Xu et al. 2019] on a selection of scenes collected by Xu et al. (rendered with Tungsten renderer).
The Grey and White Room
The White Room
The Modern Living Room
Country Kitchen
Coffee Maker
Modern Hall
Teapot (full)
Material Test Ball
Veach Ajar
Sample-based Comparison - Mitsuba Dataset
Comparison with sample-based methods on Mitsuba testing set.
Teapot 4
The Grey and White Room 1
Sponza
Kitchen 1
Kitchen 2
Bathroom 0
Bathroom 1
Bathroom 2
Bathroom2 0
Bathroom2 1
Bathroom2 2
Bedroom 0
Bedroom 1
Bedroom 2
Classroom 0
Classroom 1
Classroom 2
Coffee 0
Coffee 1
Coffee 2
Breakfast Room 0
Breakfast Room 1
Breakfast Room 2
House 0
House 1
House 2
Kitchen 0
Kitchen 1
Kitchen 2
Staircase 0
Staircase 1
Staircase 2
Motion Blur Ball 2
Images are © Disney.