Results 21 to 30 of about 1,597,404 (298)

Neural Hair Rendering

open access: yes, 2020
ECCV ...
Menglei Chai   +2 more
openaire   +4 more sources

Selective rendering for efficient ray traced stereoscopic images [PDF]

open access: yes, 2009
Depth-related visual effects are a key feature of many virtual environments. In stereo-based systems, the depth effect can be produced by delivering frames of disparate image pairs, while in monocular environments, the viewer has to extract this depth ...
Kurt Debattista   +7 more
core   +1 more source

Modeling the Biocatalytic Method of Lipid Extraction Using Artificial Neural Networks

open access: yesInformation, 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

Inverse Rendering of Translucent Objects using Physical and Neural Renderers

open access: yes2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Accepted to ...
Chenhao Li   +2 more
openaire   +4 more sources

Texture synthesis of ecological plant protection image based on convolution neural network

open access: yesFrontiers in Plant Science, 2022
Texture synthesis technology is an important realistic rendering technology. Texture synthesis technology also has a good application prospect in image rendering and other fields. Convolutional neural network is a very popular technology in recent years.
Libing Hu, Fei Zhou, Xianjun Fu
doaj   +1 more source

Geometry-Aware Neural Rendering

open access: yesCoRR, 2019
16 pages, 13 ...
Josh Tobin   +2 more
openaire   +4 more sources

MonoNHR: Monocular Neural Human Renderer

open access: yes2022 International Conference on 3D Vision (3DV), 2022
Existing neural human rendering methods struggle with a single image input due to the lack of information in invisible areas and the depth ambiguity of pixels in visible areas. In this regard, we propose Monocular Neural Human Renderer (MonoNHR), a novel approach that renders robust free-viewpoint images of an arbitrary human given only a single image.
Hongsuk Choi   +5 more
openaire   +4 more sources

Neural 3D Mesh Renderer

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
For modeling the 3D world behind 2D images, which 3D representation is most appropriate? A polygon mesh is a promising candidate for its compactness and geometric properties. However, it is not straightforward to model a polygon mesh from 2D images using neural networks because the conversion from a mesh to an image, or rendering, involves a discrete ...
Hiroharu Kato   +2 more
openaire   +3 more sources

Neural supersampling for real-time rendering [PDF]

open access: yesACM Transactions on Graphics, 2020
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 headsets. To meet this demand, modern graphics hardware and game engines often reduce the computational cost by rendering at a lower resolution and then upsampling to ...
Lei Xiao 0014   +5 more
openaire   +2 more sources

Painterly rendering techniques: A state-of-the-art review of current approaches [PDF]

open access: yes, 2013
In this publication we will look at the different methods presented over the past few decades which attempt to recreate digital paintings. While previous surveys concentrate on the broader subject of non-photorealistic rendering, the focus of this paper ...
Feng Tian   +5 more
core   +1 more source

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