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Fast Monte Carlo Rendering via Multi-Resolution Sampling [article]

Qiqi Hou, Zhan Li, Carl S Marshall, Selvakumar Panneer, Feng Liu
2021 arXiv   pre-print
In this paper, we present a hybrid rendering method to speed up Monte Carlo rendering algorithms.  ...  Monte Carlo rendering algorithms are widely used to produce photorealistic computer graphics images.  ...  However, when the ray sample rate is not sufficiently high, the rendering results from a Monte Carlo algorithm are often noisy.  ... 
arXiv:2106.12802v1 fatcat:qmk243d3v5c4dmmtlgfsyybrhq

Real-time Monte Carlo Denoising with the Neural Bilateral Grid

Xiaoxu Meng, Quan Zheng, Amitabh Varshney, Gurprit Singh, Matthias Zwicker
2020 Eurographics Symposium on Rendering  
In this paper, we propose a novel and practical deep learning approach to robustly denoise Monte Carlo images rendered at sampling rates as low as a single sample per pixel (1-spp).  ...  Real-time denoising for Monte Carlo rendering remains a critical challenge with regard to the demanding requirements of both high fidelity and low computation time.  ...  employed to denoise Monte Carlo rendering.  ... 
doi:10.2312/sr.20201133 dblp:conf/rt/MengZVSZ20 fatcat:qpzyz3eihfgmfmp6ko7zgbtmhy

Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering [article]

Fujun Luan, Shuang Zhao, Kavita Bala, Zhao Dong
2021 arXiv   pre-print
To obtain physically accurate gradient estimates, we develop a new GPU-based Monte Carlo differentiable renderer leveraging recent advances in differentiable rendering theory to offer unbiased gradients  ...  In this paper, we introduce a new analysis-by-synthesis technique capable of producing high-quality reconstructions through robust coarse-to-fine optimization and physics-based differentiable rendering  ...  Luan et al. / Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering Table 1: Rendering performance.  ... 
arXiv:2103.15208v3 fatcat:q3ftvwtfvrdy3pk6j7h7i7qbue

Sparse Sampling for Real-time Ray Tracing

Timo Viitanen, Matias Koskela, Kalle Immonen, Markku Mäkitalo, Pekka Jääskeläinen, Jarmo Takala
2018 Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
Uneven sampling methods tend to require at least one sample per pixel, limiting their use in real-time rendering.  ...  There are various algorithmic methods to speed up ray tracing through uneven screen-space sampling, e.g., foveated rendering where sampling is directed by eye tracking.  ...  These include • adaptive sampling, where more samples are placed on regions of the screen with, e.g., high Monte Carlo variance (Zwicker et al., 2015) , • foveated rendering, where rendering effort is  ... 
doi:10.5220/0006655802950302 dblp:conf/grapp/ViitanenKIMJT18 fatcat:4likzzmtijgw3imkvjs5jsogqm

Mixing Monte Carlo and progressive rendering for improved global illumination

Ian C. Doidge, Mark W. Jones, Benjamin Mora
2012 The Visual Computer  
In this paper we seek to eliminate the noise caused by caustic paths during progressive Monte Carlo path tracing.  ...  This is an efficient, low noise progressive algorithm with vanishing bias combining the advantages of both Monte Carlo methods, and particle tracing.  ...  [9] to render fast crisp caustics.  ... 
doi:10.1007/s00371-012-0703-2 fatcat:exrdtnycbbe3dp4ndtnat7wani

A progressive multi-pass method for global illumination

Shenchang Eric Chen, Holly E. Rushmeier, Gavin Miller, Douglass Turner
1991 Proceedings of the 18th annual conference on Computer graphics and interactive techniques - SIGGRAPH '91  
The method combines the existing methods of progressive refinement radiosity, Monte Carlo path tracing and light ray tracing.  ...  To increase efficiency and accuracy, the new concepts of light source reclassification, caustics reconstruction, Monte Carlo path tracing with a radiosity preprocess and an interruptible radiosity solution  ...  The algorithm was implemented in a rendering testbed developed by Ken Turkowskl, Douglass Turner and Shenchang Eric Chen.  ... 
doi:10.1145/122718.122737 dblp:conf/siggraph/ChenRMT91 fatcat:75ikrkixavcundky5j626ofm5a

A progressive multi-pass method for global illumination

Shenchang Eric Chen, Holly E. Rushmeier, Gavin Miller, Douglass Turner
1991 Computer graphics  
The method combines the existing methods of progressive refinement radiosity, Monte Carlo path tracing and light ray tracing.  ...  To increase efficiency and accuracy, the new concepts of light source reclassification, caustics reconstruction, Monte Carlo path tracing with a radiosity preprocess and an interruptible radiosity solution  ...  The algorithm was implemented in a rendering testbed developed by Ken Turkowskl, Douglass Turner and Shenchang Eric Chen.  ... 
doi:10.1145/127719.122737 fatcat:t6j44vi56nfdjfcjefq7vs5rhu

Performance Evaluation of Runtime Data Exploration Framework based on In-Situ Particle Based Volume Rendering

2017 Supercomputing Frontiers and Innovations  
In-Situ PBVR converts extreme scale volume data into small rendering primitive particle data via parallel Monte-Carlo sampling without costly visibility ordering.  ...  In addition, in Ref. [4], it was shown that the volume rendering makes visual analytics flexible by extending the definition of transfer functions (TFs) into multi-dimension.  ...  In each cell, the locations of the particles are calculated via Monte Carlo sampling to avoid lattice patterns.  ... 
doi:10.14529/jsfi170302 fatcat:zc2kkews7bht3ignkyl5alvcx4

Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool [article]

Tiange Xiang, Hongliang Yuan, Haozhi Huang, Yujin Shi
2021 arXiv   pre-print
Monte Carlo path tracer renders noisy image sequences at low sampling counts.  ...  In this paper, we tackle the problems in Monte Carlo rendering by proposing a two-stage denoiser based on the adaptive sampling strategy.  ...  Related Works Denoising for Monte Carlo Rendering Denoiser for Monte Carlo path tracer enables the renderer to operate in a low sampling count environment without an apparent loss on image quality, saving  ... 
arXiv:2103.16115v1 fatcat:zy3a3xoxsndixf6xnm3cbpedji

Deep scattering

Simon Kallweit, Thomas Müller, Brian Mcwilliams, Markus Gross, Jan Novák
2017 ACM Transactions on Graphics  
for methods based solely on Monte Carlo integration or diffusion theory.  ...  We present a technique for efficiently synthesizing images of atmospheric clouds using a combination of Monte Carlo integration and neural networks.  ...  Our results are significantly closer to reference images and render as fast as the other approximate method. RELATED WORK Monte Carlo Methods.  ... 
doi:10.1145/3130800.3130880 fatcat:edmisgifgrb53elcurd7n442bi

Deep residual learning for denoising Monte Carlo renderings

Kin-Ming Wong, Tien-Tsin Wong
2019 Computational Visual Media  
Learning-based techniques have recently been shown to be effective for denoising Monte Carlo rendering methods. However, there remains a quality gap to state-of-the-art handcrafted denoisers.  ...  This minimal requirement on auxiliary data simplifies both training and integration of our method into most production rendering pipelines.  ...  Introduction Monte Carlo rendering methods have become the mainstream photo-realistic image synthesis technique because of their generality, fast start-up, and progressive nature.  ... 
doi:10.1007/s41095-019-0142-3 fatcat:wcq3vsk7cnce3ome464bh5izse

Comparison of the x-ray tube spectrum measurement using BGO, NaI, LYSO, and HPGe detectors in a preclinical mini-CT scanner: Monte Carlo simulation and practical experiment [article]

Vahid Lohrabian, Alireza Kamali-Asl, Hossein Ghadiri Harvani, Seyed Rashid Hosseini Aghdam, Hossein Arabi
2021 arXiv   pre-print
The x-ray spectrum of a clinical x-ray tube was experimentally measured using a high purity Germanium detector (HPGe) and the obtained spectrum validated by Monte Carlo (MC) simulations.  ...  The simulation results indicated a 9.16% energy resolution for the HPGe detector wherein the FWHM of the energy resolution for the HPGe detector was about 1/3rd of the other inorganic detectors.  ...  A Monte Carlo simulation of the efficiency of the HPGe detector was conducted by Azbouche et al. [12] to measure a large volume of environmental samples.  ... 
arXiv:2102.05760v1 fatcat:gkmapqhdxnchna7uvqh5k72mw4

GPU-based frequency domain volume rendering

Ivan Viola, Armin Kanitsar, Meister Eduard Gr�ller
2004 Proceedings of the 20th spring conference on Computer graphics - SCCG '04  
The extracted slice is transformed back into the spatial domain using the inverse Fast Fourier or Fast Hartley Transform.  ...  Frequency domain volume rendering (FVR) is a volume rendering technique with lower computational complexity as compared to other techniques.  ...  Another approach that produces images which are similar to FVR is based on importance sampling and Monte Carlo integration [Csébfalvi and Szirmay-Kalos 2003 ] thus the samples are not aligned on a regular  ... 
doi:10.1145/1037210.1037218 dblp:conf/sccg/ViolaKG04 fatcat:elixcolgkvcb3dli7dstymgiyu

Photon-Driven Neural Path Guiding [article]

Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi
2020 arXiv   pre-print
Although Monte Carlo path tracing is a simple and effective algorithm to synthesize photo-realistic images, it is often very slow to converge to noise-free results when involving complex global illumination  ...  Our approach achieves significantly better rendering results of testing scenes than previous state-of-the-art path guiding methods.  ...  RELATED WORK Monte Carlo rendering.  ... 
arXiv:2010.01775v1 fatcat:dsm7kzdf5fbyziqddby6prdkme

Multi-atlas registration and adaptive hexahedral voxel discretization for fast bioluminescence tomography

Shenghan Ren, Haihong Hu, Gen Li, Xu Cao, Shouping Zhu, Xueli Chen, Jimin Liang
2016 Biomedical Optics Express  
In this paper, we present a fast reconstruction method for BLT based on multi-atlas registration and adaptive voxel discretization to relieve the complicated data processing procedure involved in the hybrid  ...  A multi-atlas registration method is first adopted to estimate the internal organ distribution of the imaged animal.  ...  (b) Transmittance result of the Monte Carlo simulation of BLT; (c) Volume rendering of the reconstructed result.  ... 
doi:10.1364/boe.7.001549 pmid:27446674 pmcid:PMC4929660 fatcat:nbasf6hit5edjf2k73hub3zfs4
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