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Text-to-3D generation is a challenging but significant task and has gained widespread attention. Its capability to rapidly generate 3D digital assets holds huge potential application value in fields such as film, video games, and virtual reality. ...

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• We propose a two-stage framework capable of generating optimized meshes with textures based on the input text and the specified LOD.
• The framework focuses on usability of text-to-3D outputs, offering both controllability and ...

Texturing 3D humans with semantic UV maps remains a challenge due to the difficulty of acquiring reasonably unfolded UV. Despite recent text-to-3D advancements in supervising multi-view renderings using large text-to-image (T2I) models, issues ...$\mathrm{}\mathrm{}\mathrm{}\mathrm{}$

Playing the guitar is a dexterous human skill that poses significant challenges in computer graphics and robotics due to the precision required in finger positioning and coordination between hands. Current methods often rely on motion capture data to ...

Reconstructing 3D face from monocular images is a challenging computer vision task, due to the limitations of traditional 3DMM (3D Morphable Model) and the lack of high-fidelity 3D facial scanning data. To solve this issue, we propose a novel ...

Hair editing is a research highlight of computer vision. Due to its complex structure, synthesizing and editing realistic fine-grained hair is a very challenging task. In order to improve the visual quality and realism of generated images, we propose a ...

Image outpainting aims at generating new looking-realistic content beyond the original boundaries for a given image patch. Existing image outpainting methods tend to generate images with erroneous structures and unnatural colors when extrapolating ...

Endoscopic medical imaging in complex curved intestinal structures are prone to uneven illumination, low contrast and lack of texture information. These problems may lead to diagnostic challenges. This paper described the first supervised deep ...

• A newly paired low-quality/high-quality intestinal polyp images dataset was constructed.
• A new supervised network was proposed to recover the texture information of the image.
• A new image fusion strategy was proposed to realize the ...

Intelligent choreographic from music is a popular field of study currently. Many works use fragment splicing to generate new motions, which lacks motion diversity. When the input is only music, the frame-by-frame generation methods lead to similar ...

Due to the complex and diverse structure of the portrait boundary, it is a great challenge to segment the portrait from the natural background efficiently and accurately. We propose a new lightweight real-time semantic segmentation network-DDCNet, ...

• For the first time,the advantages of Gamma derived image, CLAHE derived image and LIME derived image arecombinedwith a deep learning networktoobtainenhanced endoscopic images with superior image quality.
• An unsupervised derived images ...

A deep unsupervised endoscopic image enhancement method is proposed based on multi-image fusion to achieve high quality endoscope images from poorly illuminated, low contrast and color deviated images through an ...

Virtual reality (VR) safety training systems can enhance safety awareness while supporting health assessment in various work conditions. This paper proposes a novel VR system for construction safety training, which augments an individual’s ...

Retinal vessel segmentation is an essential step in the diagnosis of many diseases. Due to the large number of capillaries and complex branch structure, efficient and accurate segmentation of fundus vessels faces a huge challenge. In this paper, ...

Perfect image compositing can harmonize the appearance between the foreground and background effectively so that the composite result looks seamless and natural. However, the traditional convolutional neural network (CNN)-based methods often fail ...

• A force feedback syringe device includes novel electronic units is designed.
• A ...

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Angiography is an important minimally invasive diagnostic procedure in endovascular interventions. Effective training for the procedure is expensive, time consuming and resource demanding. Realistic simulation has become a viable ...

Avatar expression appearing in the virtual social space is one of the key technologies to convey people's emotions and facilitate the social interactions effectively via the virtual social system. Aiming at lack of feasible solutions for synchronized ...

Balloon angioplasty is an endovascular procedure to widen narrowed or obstructed blood vessels, typically to treat arterial atherosclerosis. Simulating angioplasty procedure in the complex vascular structures is a challenge task since the balloon and ...

Many virtual reality-based applications involve simulations of micro-structures such as hair, fibers and textile yarns, as well as ropes, flexible wires and tubes. In virtual surgery, for example, flexible wires and tubes are common medical instruments ...

Virtual reality based preoperative planning for Minimally Invasive Vascular Intervention is useful, not only for increasing the success rate of operation, but also used as a training tool for improving doctors' skills. In this paper we present an ...

A virtual reality (VR) based training system for Minimally Invasive Vascular Surgery can be a very useful training tool for improving skills and reducing errors in operation. Computer vision techniques have the potential to be incorporated into a VR ...

In the last years the increasing programmability of GPU lead to lots of point-based rendering could be implemented on GPU, which not only let CPU to be available for other tasks, but also improve the execution speed through GPU. However, since the ...