1,576 Result(s)
within
**hu Li
Artificial Intelligence
Computer Graphics
Image Processing and Computer Vision
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Article
Correction: Digital human and embodied intelligence for sports science: advancements, opportunities and prospects
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Article
An automatic framework for quadrilateral surface reconstruction with partitions from 3D point clouds
Currently, three-dimensional (3D) point clouds are widely used in the gaming and film industries. Inspired by the reverse process of polycube-based parametrical map**, we present an automatic framework that ...
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DCSG: data complement pseudo-label refinement and self-guided pre-training for unsupervised person re-identification
Existing unsupervised person re-identification (Re-ID) methods use clustering to generate pseudo-labels that are generally noisy, and initializing the model with ImageNet pre-training weights introduces a larg...
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Open AccessPersonalized hairstyle and hair color editing based on multi-feature fusion
In the metaverse era, virtual design of hairstyle becomes very popular for personalized aesthetics. As hair design tasks can be decomposed into hair attribute editing and generation, the development of generat...
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Open AccessFew-shot anime pose transfer
In this paper, we propose a few-shot method for pose transfer of anime characters—given a source image of an anime character and a target pose, we transfer the pose of the target to the source character. Despi...
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Multi-feature fusion enhanced monocular depth estimation with boundary awareness
Self-supervised monocular depth estimation has opened up exciting possibilities for practical applications, including scene understanding, object detection, and autonomous driving, without the need for expensi...
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Strand-accurate multi-view facial hair reconstruction and tracking
Accurate modeling of facial hair is crucial not only for reconstructing a clean-shaven face but also for enhancing realism when creating digital human avatars. Previous methods have primarily focused on recons...
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Open AccessShadow-aware image colorization
Significant advancements have been made in colorization in recent years, especially with the introduction of deep learning technology. However, challenges remain in accurately colorizing images under certain l...
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FusionDeformer: text-guided mesh deformation using diffusion models
Mesh deformation has a wide range of applications, including character creation, geometry modelling, deforming animation, and morphing. Recently, mesh deformation methods based on CLIP models demonstrated the ...
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Deformable shape matching with multiple complex spectral filter operator preservation
The functional maps framework has achieved remarkable success in non-rigid shape matching. However, the traditional functional map representations do not explicitly encode surface orientation, which can easily...
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Distribution-decouple learning network: an innovative approach for single image dehazing with spatial and frequency decoupling
Image dehazing methods face challenges in addressing the high coupling between haze and object feature distributions in the spatial and frequency domains. This coupling often results in oversharpening, color d...
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Mem-Box: VR sandbox for adaptive working memory evaluation and training using physiological signals
Working memory is crucial for higher cognitive functions in humans and is a focus in cognitive rehabilitation. Compared to conventional working memory training methods, VR-based training provides a more immers...
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Robust point cloud normal estimation via multi-level critical point aggregation
We propose a multi-level critical point aggregation architecture based on a graph attention mechanism for 3D point cloud normal estimation, which can efficiently focus on locally important points during the fe...
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Point cloud upsampling via a coarse-to-fine network with transformer-encoder
Point clouds provide a common geometric representation for burgeoning 3D graphics and vision tasks. To deal with the sparse, noisy and non-uniform output of most 3D data acquisition devices, this paper present...
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Digital human and embodied intelligence for sports science: advancements, opportunities and prospects
This paper presents a comprehensive review of state-of-the-art motion capture techniques for digital human modeling in sports, including traditional optical motion capture systems, wearable sensor capture syst...
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MCLGAN: a multi-style cartoonization method based on style condition information
Image cartoonization, a special kind of style transformation, is a challenging image processing task. Most existing cartoonization methods aim at single-style transformation. While multiple models are trained ...
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ZMNet: feature fusion and semantic boundary supervision for real-time semantic segmentation
Feature fusion module is an essential component of real-time semantic segmentation networks to bridge the semantic gap among different feature layers. However, many networks are inefficient in multi-level feat...
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ROMOT: Referring-expression-comprehension open-set multi-object tracking
Traditional multi-object tracking is limited to tracking a predefined set of categories, whereas open-vocabulary tracking expands its capabilities to track novel categories. In this paper, we propose ROMOT (re...
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Contrastive local constraint for irregular image reconstruction and editability
GAN inversion aims to invert a real image back into the latent space of a pre-trained GAN model, showing great potential in image reconstruction and editing. However, existing methods suffer from a loss of det...
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Self-supervised indoor scene point cloud completion from a single panorama
In this paper, we propose a self-supervised learning method of point cloud completion for indoor scenes. Considering the limited view of single-view image and the time-consuming and labor-intensive acquisition...
