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Co-Occ: Coupling Explicit Feature Fusion With Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction

IEEE Robotics and Automation Letters
3D semantic occupancy prediction is a pivotal task in the field of autonomous driving. Recent approaches have made great advances in 3D semantic occupancy predictions on a single modality.
Jingyi Pan, Zipeng Wang, Lin Wang
semanticscholar   +1 more source

Acoustic Volume Rendering for Neural Impulse Response Fields

Neural Information Processing Systems
Realistic audio synthesis that captures accurate acoustic phenomena is essential for creating immersive experiences in virtual and augmented reality. Synthesizing the sound received at any position relies on the estimation of impulse response (IR), which
Zitong Lan   +3 more
semanticscholar   +1 more source

RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision

IEEE International Conference on Robotics and Automation, 2023
3D occupancy prediction holds significant promise in the fields of robot perception and autonomous driving, which quantifies 3D scenes into grid cells with semantic labels.
Mingjie Pan   +6 more
semanticscholar   +1 more source

Spectral volume rendering

IEEE Transactions on Visualization and Computer Graphics, 2000
Volume renderers for interactive analysis must be sufficiently versatile to render a broad range of volume images: unsegmented "raw" images as recorded by a 3D scanner, labeled segmented images, multimodality images, or any combination of these. The usual strategy is to assign to each voxel a three component RGB color and an opacity value /spl alpha ...
Noordmans, H.J.   +2 more
openaire   +3 more sources

Volume rendering

Communications of the ACM, 1989
Volumetric rendering speaks volumes for data 20 orders of magnitude apart—from human anatomy to neuroanatomy, and from electrostatic charges of macromolecules to failure analysis of manufactured parts.
openaire   +1 more source

Monte Carlo methods for physically based volume rendering

SIGGRAPH Courses, 2018
We survey methods that utilize Monte Carlo (MC) integration to simulate light transport in scenes with participatingmedia. The goal of this course is to complement a recent Eurographics 2018 stateof-the-art report providing a broad overview of most ...
Jan Novák   +4 more
semanticscholar   +1 more source

Metric Volume Rendering

1996
To what extent can the exact size and form of an object be reconstructed from volume data? Why can the rendering of a 3D dataset performed with a super-resolution volume rendering algorithm be magnified beyond the dimensions of the individual voxels without introduction of artefacts and/or unsharpness?
Smit, Jaap   +2 more
openaire   +2 more sources

Sort-First Parallel Volume Rendering

IEEE Transactions on Visualization and Computer Graphics, 2011
Sort-first distributions have been studied and used far less than sort-last distributions for parallel volume rendering, especially when the data are too large to be replicated fully. We demonstrate that sort-first distributions are not only a viable method of performing data-scalable parallel volume rendering, but more importantly they allow for a ...
Brendan, Moloney   +3 more
openaire   +2 more sources

Stereoscopic Volume Rendering

1998
In this paper we describe the extension of a parallel, distributed, direct volume renderer for use with a novel auto-stereoscopic display. We begin by briefly describing the target application of our research, radiation therapy planning, why we believe that stereoscopic viewing may be helpful for this, and the design of our DVR system.
Roger J. Hubbold   +2 more
openaire   +1 more source

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