Shape, light, and material decomposition from images using monte carlo rendering and denoising

J Hasselgren, N Hofmann… - Advances in Neural …, 2022 - proceedings.neurips.cc
Recent advances in differentiable rendering have enabled high-quality reconstruction of 3D
scenes from multi-view images. Most methods rely on simple rendering algorithms: pre …

Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting

B Bitterli, C Wyman, M Pharr, P Shirley… - ACM Transactions on …, 2020 - dl.acm.org
Efficiently rendering direct lighting from millions of dynamic light sources using Monte Carlo
integration remains a challenging problem, even for off-line rendering systems. We …

[图书][B] Real-time rendering

T Akenine-Moller, E Haines, N Hoffman - 2019 - taylorfrancis.com
Thoroughly revised, this third edition focuses on modern techniques used to generate
synthetic three-dimensional images in a fraction of a second. With the advent of …

Neural supersampling for real-time rendering

L Xiao, S Nouri, M Chapman, A Fix, D Lanman… - ACM Transactions on …, 2020 - dl.acm.org
Due to higher resolutions and refresh rates, as well as more photorealistic effects, real-time
rendering has become increasingly challenging for video games and emerging virtual reality …

Sample-based Monte Carlo denoising using a kernel-splatting network

M Gharbi, TM Li, M Aittala, J Lehtinen… - ACM Transactions on …, 2019 - dl.acm.org
Denoising has proven to be useful to efficiently generate high-quality Monte Carlo
renderings. Traditional pixel-based denoisers exploit summary statistics of a pixel's sample …

Physically based synthetic image generation for machine learning: a review of pertinent literature

D Schraml - … and Education in Measurement Science 2019, 2019 - spiedigitallibrary.org
The term deep learning is almost on everyone's lips these days, in the area of computer
vision manly because of the great advances deep learning approaches have made amongst …

A survey of temporal antialiasing techniques

L Yang, S Liu, M Salvi - Computer graphics forum, 2020 - Wiley Online Library
Temporal Antialiasing (TAA), formally defined as temporally‐amortized supersampling, is
the most widely used antialiasing technique in today's real‐time renderers and game …

Interactive Monte Carlo denoising using affinity of neural features

M Işık, K Mullia, M Fisher, J Eisenmann… - ACM Transactions on …, 2021 - dl.acm.org
High-quality denoising of Monte Carlo low-sample renderings remains a critical challenge
for practical interactive ray tracing. We present a new learning-based denoiser that achieves …

Neural temporal adaptive sampling and denoising

J Hasselgren, J Munkberg, M Salvi… - Computer Graphics …, 2020 - Wiley Online Library
Despite recent advances in Monte Carlo path tracing at interactive rates, denoised image
sequences generated with few samples per‐pixel often yield temporally unstable results and …

Gradient estimation for real-time adaptive temporal filtering

C Schied, C Peters, C Dachsbacher - … of the ACM on Computer Graphics …, 2018 - dl.acm.org
With the push towards physically based rendering, stochastic sampling of shading, eg using
path tracing, is becoming increasingly important in real-time rendering. To achieve high …