Results 311 to 320 of about 1,983,191 (362)
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Rendering RNA in 3D

Nature Methods, 2012
Integrating biochemical footprinting data with molecular dynamics yields more accurate RNA three-dimensional structure predictions.
Reza, Behrouzi, Sarah A, Woodson
openaire   +2 more sources

GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
This paper presents a 3D Gaussian Inverse Rendering (GIR) method, employing 3D Gaussian representations to effectively factorize the scene into material properties, light, and geometry. The key contributions are three-fold.
Yahao Shi   +11 more
semanticscholar   +1 more source

Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark

Neural Information Processing Systems, 2023
We introduce Stanford-ORB, a new real-world 3D Object inverse Rendering Benchmark. Recent advances in inverse rendering have enabled a wide range of real-world applications in 3D content generation, moving rapidly from research and commercial use cases ...
Zhengfei Kuang   +5 more
semanticscholar   +1 more source

3D Volume Rendering and 3D Printing (Additive Manufacturing)

Dental Clinics of North America, 2018
Three-dimensional (3D) volume-rendered images allow 3D insight into the anatomy, facilitating surgical treatment planning and teaching. 3D printing, additive manufacturing, and rapid prototyping techniques are being used with satisfactory accuracy, mostly for diagnosis and surgical planning, followed by direct manufacture of implantable devices.
Rujuta A, Katkar   +2 more
openaire   +2 more sources

Depth-less 3D rendering

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012
We propose a new view synthesis without using a depth map for stereoscopic images with small baseline. The new technique utilizes the linear relationship between local luminance changes and small horizontal shifts in an image. In this paper, we prove the linear relationship between local luminance changes and small horizontal shifts.
Mashhour Solh, Ghassan AlRegib
openaire   +1 more source

Comparison of Time, Size and Quality of 3D Object Rendering Using Render Engine Eevee and Cycles in Blender

2022 5th International Conference of Computer and Informatics Engineering (IC2IE), 2022
3D is widely used in industries such as cinema, architecture, health and others. The 3D model must be rendered before it can be used. The number of rendering engines available today is definitely a difficult choice.
Ika Asti Astuti   +5 more
semanticscholar   +1 more source

LiDAR-Aug: A General Rendering-based Augmentation Framework for 3D Object Detection

Computer Vision and Pattern Recognition, 2021
Annotating the LiDAR point cloud is crucial for deep learning-based 3D object detection tasks. Due to expensive labeling costs, data augmentation has been taken as a necessary module and plays an important role in training the neural network. "Copy" and "
Jin Fang   +5 more
semanticscholar   +1 more source

3D Seismic Volume Rendering

8th International Congress of the Brazilian Geophysical Society, 2003
Volume Visualization has become a very useful tool for modern seismic interpretation. The main purpose of this technique is to obtain an overview of structural and stratigraphic features. Most of the currently available software for 3D seismic visualization employs the same rendering equations used in traditional medical imaging. However, the nature of
Pedro Mário Silva   +2 more
openaire   +1 more source

Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians

IEEE Transactions on Pattern Analysis and Machine Intelligence
The recently proposed 3D Gaussian Splatting (3D-GS) demonstrates superior rendering fidelity and efficiency compared to NeRF-based scene representations.
Kerui Ren   +6 more
semanticscholar   +1 more source

Distributed 3D audio rendering

Computer Networks and ISDN Systems, 1998
This paper discusses the use of audio spatialisation techniques to complement current developments in Voice-over-IP. The result is to create a shared synthetic audio environment in which Voice-over-IP streams from several participants appear to be spatially located.
Colin Low, Laurent Babarit
openaire   +1 more source

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