Results 11 to 20 of about 1,293,955 (344)

LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
We design a family of image classification architectures that optimize the trade-off between accuracy and efficiency in a high-speed regime. Our work exploits recent findings in attention-based architectures, which are competitive on highly parallel ...
Benjamin Graham   +6 more
semanticscholar   +1 more source

HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
We propose a method that leverages graph neural networks, multi-level message passing, and unsupervised training to enable efficient prediction of realistic clothing dynamics.
A. Grigorev   +3 more
semanticscholar   +1 more source

Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
We present PHORHUM, a novel, end-to-end trainable, deep neural network methodology for photorealistic 3D human reconstruction given just a monocular RGB image.
Thiemo Alldieck   +2 more
semanticscholar   +1 more source

Capturing and Animation of Body and Clothing from Monocular Video [PDF]

open access: yesACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, 2022
While recent work has shown progress on extracting clothed 3D human avatars from a single image, video, or a set of 3D scans, several limitations remain.
Yao Feng   +4 more
semanticscholar   +1 more source

Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry

open access: yesComputers & industrial engineering, 2021
Traceability has emerged as a prime requirement for a multi-tier and multi-site production. It enables visibility and caters to the consumer requirements of transparency and quality assurance.
T. Agrawal   +4 more
semanticscholar   +1 more source

Temperature-Arousing Self-Powered Fire Warning E-Textile Based on p–n Segment Coaxial Aerogel Fibers for Active Fire Protection in Firefighting Clothing

open access: yesNano-Micro Letters, 2023
The p – n segment thermoelectric aerogel fiber was fabricated through an alternating coaxial wet-spinning strategy. Resultant alternating p – n segment thermoelectric fiber was electrically connected in series (two p – n pairs with a length of 3 cm) with
Hualing He   +8 more
semanticscholar   +1 more source

TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
In this paper, we present TailorNet, a neural model which predicts clothing deformation in 3D as a function of three factors: pose, shape and style (garment geometry), while retaining wrinkle detail.
Chaitanya Patel   +2 more
semanticscholar   +1 more source

Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
Thermal infrared imaging is widely used in body temperature measurement, security monitoring, and so on, but its safety research attracted attention only in recent years. We proposed the infrared adversarial clothing, which could fool infrared pedestrian
Xiaopei Zhu   +4 more
semanticscholar   +1 more source

Circular Economy and Sustainability of the Clothing and Textile Industry

open access: yesMaterials Circular Economy, 2021
Textiles are essential to humans in a variety of ways, especially clothing. However, the speed at which they end up in landfills is astonishing (one garbage truck per second), posing a severe risk to the environment, if the trend continues.
Xuandong Chen   +4 more
semanticscholar   +1 more source

Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
We present Neural Generalized Implicit Functions (Neural-GIF), to animate people in clothing as a function of the body pose. Given a sequence of scans of a subject in various poses, we learn to animate the character for new poses.
Garvita Tiwari   +3 more
semanticscholar   +1 more source

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