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 …
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
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 …
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 …
synthetic three-dimensional images in a fraction of a second. With the advent of …
Neural supersampling for real-time rendering
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 …
rendering has become increasingly challenging for video games and emerging virtual reality …
Sample-based Monte Carlo denoising using a kernel-splatting network
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 …
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 …
vision manly because of the great advances deep learning approaches have made amongst …
A survey of temporal antialiasing techniques
Temporal Antialiasing (TAA), formally defined as temporally‐amortized supersampling, is
the most widely used antialiasing technique in today's real‐time renderers and game …
the most widely used antialiasing technique in today's real‐time renderers and game …
Interactive Monte Carlo denoising using affinity of neural features
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 …
for practical interactive ray tracing. We present a new learning-based denoiser that achieves …
Neural temporal adaptive sampling and denoising
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 …
sequences generated with few samples per‐pixel often yield temporally unstable results and …
Gradient estimation for real-time adaptive temporal filtering
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 …
path tracing, is becoming increasingly important in real-time rendering. To achieve high …