Differentiable rendering: A survey
Deep neural networks (DNNs) have shown remarkable performance improvements on
vision-related tasks such as object detection or image segmentation. Despite their success …
vision-related tasks such as object detection or image segmentation. Despite their success …
A survey on deep learning-based Monte Carlo denoising
Y Huo, S Yoon - Computational visual media, 2021 - Springer
Monte Carlo (MC) integration is used ubiquitously in realistic image synthesis because of its
flexibility and generality. However, the integration has to balance estimator bias and …
flexibility and generality. However, the integration has to balance estimator bias and …
Nerv: Neural reflectance and visibility fields for relighting and view synthesis
We present a method that takes as input a set of images of a scene illuminated by
unconstrained known lighting, and produces as output a 3D representation that can be …
unconstrained known lighting, and produces as output a 3D representation that can be …
A survey of deep learning approaches to image restoration
In this paper, we present an extensive review on deep learning methods for image
restoration tasks. Deep learning techniques, led by convolutional neural networks, have …
restoration tasks. Deep learning techniques, led by convolutional neural networks, have …
Geometry processing with neural fields
Most existing geometry processing algorithms use meshes as the default shape
representation. Manipulating meshes, however, requires one to maintain high quality in the …
representation. Manipulating meshes, however, requires one to maintain high quality in the …
Adaptive convolutions for structure-aware style transfer
Style transfer between images is an artistic application of CNNs, where the'style'of one
image is transferred onto another image while preserving the latter's content. The state of the …
image is transferred onto another image while preserving the latter's content. The state of the …
[PDF][PDF] Adversarial Monte Carlo denoising with conditioned auxiliary feature modulation.
Along with the rapid improvements in hardware and gradually increasing perceptual
demands of users, Monte Carlo path tracing is becoming more popular in movie production …
demands of users, Monte Carlo path tracing is becoming more popular in movie production …
Free-viewpoint indoor neural relighting from multi-view stereo
We introduce a neural relighting algorithm for captured indoors scenes, that allows
interactive free-viewpoint navigation. Our method allows illumination to be changed …
interactive free-viewpoint navigation. Our method allows illumination to be changed …
Generalized resampled importance sampling: Foundations of restir
As scenes become ever more complex and real-time applications embrace ray tracing, path
sampling algorithms that maximize quality at low sample counts become vital. Recent …
sampling algorithms that maximize quality at low sample counts become vital. Recent …
Revisiting adaptive convolutions for video frame interpolation
Video frame interpolation, the synthesis of novel views in time, is an increasingly popular
research direction with many new papers further advancing the state of the art. But as each …
research direction with many new papers further advancing the state of the art. But as each …