Results 31 to 40 of about 1,683,484 (294)
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Project page with code and videos at https://light-field-neural-rendering.github ...
Mohammed Suhail +3 more
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BokehMe: When Neural Rendering Meets Classical Rendering
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We propose BokehMe, a hybrid bokeh rendering framework that marries a neural renderer with a classical physically motivated renderer. Given a single image and a potentially imperfect disparity map, BokehMe generates high-resolution photo-realistic bokeh effects with adjustable blur size, focal plane, and aperture shape.
Juewen Peng +5 more
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Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 We present a neural rendering framework that maps a voxelized scene into a high quality image. Highly-textured objects and scene element interactions are realistically rendered by our method, despite having a rough representation as an input. Moreover, our approach allows controllable rendering: geometric and appearance modifications in the input are ...
Konstantinos Rematas, Vittorio Ferrari
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Neural Screen Space Rendering of Direct Illumination [PDF]
, 2021 Neural rendering is a class of methods that use deep learning to produce novel images of scenes from more limited information than traditional rendering methods.
Zhao, Junhong +4 more
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Intraoperative Registration by Cross-Modal Inverse Neural Rendering. [PDF]
Med Image Comput Comput Assist IntervWe present in this paper a novel approach for 3D/2D intraoperative registration during neurosurgery via cross-modal inverse neural rendering. Our approach separates implicit neural representation into two components, handling anatomical structure ...
Fehrentz M +9 more
europepmc +2 more sources
The overview of neural rendering [PDF]
, 2023 In the article the usage of neural networks for increasing image rendering efficiency was analyzed. The main characteristics of the most popular neural networks architectures are described.
Romanyuk, S. O. +9 more
core
Inverse Rendering of Translucent Objects using Physical and Neural Renderers
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Accepted to ...
Chenhao Li +2 more
openaire +4 more sources
ACM Transactions on Graphics, 2019 The modern computer graphics pipeline can synthesize images at remarkable visual quality; however, it requires well-defined, high-quality 3D content as input. In this work, we explore the use of imperfect 3D content, for instance, obtained from photo-metric reconstructions with noisy and incomplete surface geometry, while still aiming to ...
Justus Thies +2 more
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Modeling the Biocatalytic Method of Lipid Extraction Using Artificial Neural Networks
Information, 2023 The paper presents the data on lipid fraction extraction from the raw fat of hibernating hunting animals. The processing of valuable raw materials must be maximized. For this purpose, various methods of rendering are used.
Anton V. Shafrai +2 more
doaj +1 more source