相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Deep radiance caching: Convolutional autoencoders deeper in ray tracing
Giulio Jiang et al.
COMPUTERS & GRAPHICS-UK (2021)
Path-based Monte Carlo Denoising Using a Three-Scale Neural Network
Weiheng Lin et al.
COMPUTER GRAPHICS FORUM (2021)
Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning
Yuchi Huo et al.
ACM TRANSACTIONS ON GRAPHICS (2020)
Neural Temporal Adaptive Sampling and Denoising
J. Hasselgren et al.
COMPUTER GRAPHICS FORUM (2020)
Deep Kernel Density Estimation for Photon Mapping
Shilin Zhu et al.
COMPUTER GRAPHICS FORUM (2020)
Neural Denoising with Layer Embeddings
Jacob Munkberg et al.
COMPUTER GRAPHICS FORUM (2020)
Denoising Stochastic Progressive Photon Mapping Renderings Using a Multi-Residual Network
Zheng Zeng et al.
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY (2020)
Fast Computation of Single Scattering in Participating Media with Refractive Boundaries Using Frequency Analysis
Yulin Liang et al.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2020)
Deep Combiner for Independent and Correlated Pixel Estimates
Jonghee Back et al.
ACM TRANSACTIONS ON GRAPHICS (2020)
A detail preserving neural network model for Monte Carlo denoising
Weiheng Lin et al.
COMPUTATIONAL VISUAL MEDIA (2020)
Unsupervised Image Reconstruction for Gradient-Domain Volumetric Rendering
Zilin Xu et al.
COMPUTER GRAPHICS FORUM (2020)
Neural Denoising for Path Tracing of Medical Volumetric Data
Nikolai Hofmann et al.
PROCEEDINGS OF THE ACM ON COMPUTER GRAPHICS AND INTERACTIVE TECHNIQUES (2020)
Path Tracing Denoising Based on SURE Adaptive Sampling and Neural Network
Qiwei Xing et al.
IEEE ACCESS (2020)
Deep Convolutional Reconstruction For Gradient-Domain Rendering
Markus Kettunen et al.
ACM TRANSACTIONS ON GRAPHICS (2019)
Sample-based Monte Carlo Denoising using a Kernel-Splatting Network
Michatel Gharbi et al.
ACM TRANSACTIONS ON GRAPHICS (2019)
A Survey on Gradient-Domain Rendering
Binh-Son Hua et al.
COMPUTER GRAPHICS FORUM (2019)
DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering
Xin Yang et al.
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY (2019)
GradNet: Unsupervised Deep Screened Poisson Reconstruction for Gradient-Domain Rendering
Jie Guo et al.
ACM TRANSACTIONS ON GRAPHICS (2019)
Adversarial Monte Carlo Denoising with Conditioned Auxiliary Feature Modulation
Bing Xu et al.
ACM TRANSACTIONS ON GRAPHICS (2019)
Offline Deep Importance Sampling for Monte Carlo Path Tracing
Steve Bako et al.
COMPUTER GRAPHICS FORUM (2019)
Image Denoising Using A Generative Adversarial Network
Abeer Alsaiari et al.
2019 IEEE 2ND INTERNATIONAL CONFERENCE ON INFORMATION AND COMPUTER TECHNOLOGIES (ICICT) (2019)
Deep residual learning for denoising Monte Carlo renderings
Kin-Ming Wong et al.
COMPUTATIONAL VISUAL MEDIA (2019)
Fast Reconstruction for Monte Carlo Rendering Using Deep Convolutional Networks
Xin Yang et al.
IEEE ACCESS (2019)
Deep Adaptive Sampling for Low Sample Count Rendering
Alexandr Kuznetsov et al.
COMPUTER GRAPHICS FORUM (2018)
Generative Adversarial Networks An overview
Antonia Creswell et al.
IEEE SIGNAL PROCESSING MAGAZINE (2018)
Denoising with Kernel Prediction and Asymmetric Loss Functions
Thijs Vogels et al.
ACM TRANSACTIONS ON GRAPHICS (2018)
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks
Simon Kallweit et al.
ACM TRANSACTIONS ON GRAPHICS (2017)
Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder
Chakravarty R. Alla Chaitanya et al.
ACM TRANSACTIONS ON GRAPHICS (2017)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
A survey of photon mapping state-of-the-art research and future challenges
Chun-meng Kang et al.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING (2016)
Gradient-Domain Path Tracing
Markus Kettunen et al.
ACM TRANSACTIONS ON GRAPHICS (2015)
A Machine Learning Approach for Filtering Monte Carlo Noise
Nima Khademi Kalantari et al.
ACM TRANSACTIONS ON GRAPHICS (2015)
Manifold Next Event Estimation
Johannes Hanika et al.
COMPUTER GRAPHICS FORUM (2015)
Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering
M. Zwicker et al.
COMPUTER GRAPHICS FORUM (2015)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
Gradient-Domain Metropolis Light Transport
Jaakko Lehtinen et al.
ACM TRANSACTIONS ON GRAPHICS (2013)
5D Covariance Tracing for Efficient Defocus and Motion Blur
Laurent Belcour et al.
ACM TRANSACTIONS ON GRAPHICS (2013)
Axis-Aligned Filtering for Interactive Sampled Soft Shadows
Soham Uday Mehta et al.
ACM TRANSACTIONS ON GRAPHICS (2012)
SURE-based Optimization for Adaptive Sampling and Reconstruction
Tzu-Mao Li et al.
ACM TRANSACTIONS ON GRAPHICS (2012)
A frequency analysis of light transport
F Durand et al.
ACM TRANSACTIONS ON GRAPHICS (2005)