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pro vyhledávání: '"Ren, Weining"'
Neural Radiance Fields (NeRFs) have shown remarkable success in synthesizing photorealistic views from multi-view images of static scenes, but face challenges in dynamic, real-world environments with distractors like moving objects, shadows, and ligh
Externí odkaz:
http://arxiv.org/abs/2405.18715
Autor:
Georgoulis, Stamatios, Ren, Weining, Bochicchio, Alfredo, Eckert, Daniel, Li, Yuanyou, Gawel, Abel
Rapid and reliable identification of dynamic scene parts, also known as motion segmentation, is a key challenge for mobile sensors. Contemporary RGB camera-based methods rely on modeling camera and scene properties however, are often under-constraine
Externí odkaz:
http://arxiv.org/abs/2403.04562
Autor:
Li, Lei, Liu, Zhizheng, Ren, Weining, Yang, Liudi, Wang, Fangjinhua, Pollefeys, Marc, Peng, Songyou
3D textured shape recovery from partial scans is crucial for many real-world applications. Existing approaches have demonstrated the efficacy of implicit function representation, but they suffer from partial inputs with severe occlusions and varying
Externí odkaz:
http://arxiv.org/abs/2209.03254
Autor:
Han, Zhenhua, Ren, Weining, Yang, Jun, Tian, Ali, Du, Yuzhou, Liu, Gang, Wei, Ran, Zhang, Guojun, Chen, Yuanqing
Publikováno v:
In Journal of Alloys and Compounds 5 March 2020 816
Autor:
Han, Zhenhua, Ren, Weining, Yang, Jun, Du, Yuzhou, Wei, Ran, Zhang, Changjun, Chen, Yuanqing, Zhang, Guojun
Publikováno v:
In Journal of Alloys and Compounds 30 June 2019 791:962-970
Akademický článek
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