Denoising with kernel prediction and asymmetric loss functions-Reference-Cited by-同舟云学术

Denoising with kernel prediction and asymmetric loss functions

Published:2018-08-31 Issue:4 Volume:37 Page:1-15
ISSN:0730-0301
Container-title:ACM Transactions on Graphics
language:en
Short-container-title:ACM Trans. Graph.

Author:

Vogels Thijs¹,Rousselle Fabrice¹,Mcwilliams Brian¹,Röthlin Gerhard¹,Harvill Alex²,Adler David³,Meyer Mark²,Novák Jan¹

Affiliation:

1. Disney Research

2. Pixar Animation Studios

3. Walt Disney Animation Studios

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Link

https://dl.acm.org/doi/pdf/10.1145/3197517.3201388

Reference52 articles.

1. Martín Abadi Ashish Agarwal Paul Barham etal 2015. TensorFlow: Large-scale machine learning on heterogeneous systems http://tensorflow.org/ Martín Abadi Ashish Agarwal Paul Barham et al. 2015. TensorFlow: Large-scale machine learning on heterogeneous systems http://tensorflow.org/

2. Neural Module Networks

3. Kernel-predicting convolutional networks for denoising Monte Carlo renderings

4. Guided Image Filtering for Interactive High-quality Global Illumination

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