Results 1 to 10 of about 1,216,906 (379)

Instant neural graphics primitives with a multiresolution hash encoding [PDF]

ACM Transactions on Graphics, 2022
Neural graphics primitives, parameterized by fully connected neural networks, can be costly to train and evaluate. We reduce this cost with a versatile new input encoding that permits the use of a smaller network without sacrificing quality, thus ...
T. Müller, Alex Evans, Christoph Schied, A. Keller   +3 more
exaly   +2 more sources

Generic Diagramming Platform (GDP): a comprehensive database of high-quality biomedical graphics. [PDF]

Nucleic Acids Res
High-quality schematic illustrations are fundamental to the publication of scientific achievements in biomedical research, which are crucial for effectively conveying complex biomedical concepts.
Jiang S, Li H, Zhang L, Mu W, Zhang Y, Chen T, Wu J, Tang H, Zheng S, Liu Y, Wu Y, Luo X, Xie Y, Ren J.   +13 more
europepmc   +2 more sources

phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

PLoS ONE, 2013
Background The analysis of microbial communities through DNA sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, visualization and testing.
Paul J Mcmurdie, Susan P Holmes
exaly   +2 more sources

YASARA View—molecular graphics for all devices—from smartphones to workstations

Bioinformatics, 2014
Summary: Today's graphics processing units (GPUs) compose the scene from individual triangles. As about 320 triangles are needed to approximate a single sphere—an atom—in a convincing way, visualizing larger proteins with atomic details requires tens of ...
Elmar Krieger, Gert Vriend
exaly   +2 more sources

Metaverse: Perspectives from graphics, interactions and visualization

Visual Informatics, 2022
Yuheng Zhao, Yi Chen, Yalong Yang
exaly   +2 more sources

Moving beyond P values: data analysis with estimation graphics

Nature Methods, 2019
Tayfun Tumkaya, Chae Hyungwon, Adam Claridge-Chang   +2 more
exaly   +2 more sources

A Survey of General-Purpose Computation on Graphics Hardware

Computer Graphics Forum, 2007
John D Owens, Naga Govindaraju, Timothy J Purcell   +2 more
exaly   +2 more sources

Neurosymbolic Models for Computer Graphics [PDF]

Computer graphics forum (Print), 2023
Procedural models (i.e. symbolic programs that output visual data) are a historically‐popular method for representing graphics content: vegetation, buildings, textures, etc.
Daniel Ritchie, Paul Guerrero, R. K. Jones, N. Mitra, Adriana Schulz, Karl D. D. Willis, Jiajun Wu   +6 more
semanticscholar   +1 more source

PocketNet: Extreme Lightweight Face Recognition Network Using Neural Architecture Search and Multistep Knowledge Distillation

IEEE Access, 2022
Deep neural networks have rapidly become the mainstream method for face recognition (FR). However, this limits the deployment of such models that contain an extremely large number of parameters to embedded and low-end devices. In this work, we present an
Fadi Boutros, Patrick Siebke, Marcel Klemt, Naser Damer, Florian Kirchbuchner, Arjan Kuijper   +5 more
doaj   +1 more source

An Enhanced Approach for Image Edge Detection Using Histogram Equalization (BBHE) and Bacterial Foraging Optimization (BFO) [PDF]

International Journal of Electronics and Telecommunications, 2022
The Edge detection is a customarily task. Edge detection is the main task to perform as it gives clear information about the images. It is a tremendous device in photograph processing gadgets and computer imaginative and prescient.
Parveen Kumar, Tanvi Jindal, Balwinder Raj   +2 more
doaj   +1 more source