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pro vyhledávání: '"Li, YuanMing"'
Recently, deep learning-based facial landmark detection for in-the-wild faces has achieved significant improvement. However, there are still challenges in face landmark detection in other domains (e.g. cartoon, caricature, etc). This is due to the sc
Externí odkaz:
http://arxiv.org/abs/2401.13191
We introduce DataCI, a comprehensive open-source platform designed specifically for data-centric AI in dynamic streaming data settings. DataCI provides 1) an infrastructure with rich APIs for seamless streaming dataset management, data-centric pipeli
Externí odkaz:
http://arxiv.org/abs/2306.15538
Image inpainting is an old problem in computer vision that restores occluded regions and completes damaged images. In the case of facial image inpainting, most of the methods generate only one result for each masked image, even though there are other
Externí odkaz:
http://arxiv.org/abs/2301.08443
Image inpainting is a technique of completing missing pixels such as occluded region restoration, distracting objects removal, and facial completion. Among these inpainting tasks, facial completion algorithm performs face inpainting according to the
Externí odkaz:
http://arxiv.org/abs/2301.08044
Autor:
Zhang, Huaizheng, Li, Yuanming, Xiao, Wencong, Huang, Yizheng, Di, Xing, Yin, Jianxiong, See, Simon, Luo, Yong, Lau, Chiew Tong, You, Yang
New architecture GPUs like A100 are now equipped with multi-instance GPU (MIG) technology, which allows the GPU to be partitioned into multiple small, isolated instances. This technology provides more flexibility for users to support both deep learni
Externí odkaz:
http://arxiv.org/abs/2301.00407
Although manipulating facial attributes by Generative Adversarial Networks (GANs) has been remarkably successful recently, there are still some challenges in explicit control of features such as pose, expression, lighting, etc. Recent methods achieve
Externí odkaz:
http://arxiv.org/abs/2209.12050
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis
Over the years, 2D GANs have achieved great successes in photorealistic portrait generation. However, they lack 3D understanding in the generation process, thus they suffer from multi-view inconsistency problem. To alleviate the issue, many 3D-aware
Externí odkaz:
http://arxiv.org/abs/2207.10257
The success of today's AI applications requires not only model training (Model-centric) but also data engineering (Data-centric). In data-centric AI, active learning (AL) plays a vital role, but current AL tools 1) require users to manually select AL
Externí odkaz:
http://arxiv.org/abs/2207.09109
Recently, synthesizing personalized characters from a single user-given portrait has received remarkable attention as a drastic popularization of social media and the metaverse. The input image is not always in frontal view, thus it is important to a
Externí odkaz:
http://arxiv.org/abs/2205.02974
Autor:
Wang, Weilu, Liu, Zhen, Qi, Zheying, Li, Zhitao, Zhu, Jinyong, Chen, Limin, Li, Yuanming, Bi, Zhenzhen, Yao, Panfeng, Sun, Chao, Liu, Yuhui
Publikováno v:
In Food Bioscience December 2024 62
