Zobrazeno 1 - 10
of 1 069
pro vyhledávání: '"Carrasco, Francisco"'
Autor:
Kwon, Youngjoong, Fang, Baole, Lu, Yixing, Dong, Haoye, Zhang, Cheng, Carrasco, Francisco Vicente, Mosella-Montoro, Albert, Xu, Jianjin, Takagi, Shingo, Kim, Daeil, Prakash, Aayush, De la Torre, Fernando
Recent progress in neural rendering has brought forth pioneering methods, such as NeRF and Gaussian Splatting, which revolutionize view rendering across various domains like AR/VR, gaming, and content creation. While these methods excel at interpolat
Externí odkaz:
http://arxiv.org/abs/2407.12777
3D Hand reconstruction from a single RGB image is challenging due to the articulated motion, self-occlusion, and interaction with objects. Existing SOTA methods employ attention-based transformers to learn the 3D hand pose and shape, but they fail to
Externí odkaz:
http://arxiv.org/abs/2407.09646
Autor:
Ibáñez-Carrasco, Francisco1 francisco.ibanez.carrasco@utoronto.ca, Hoechsmann, Michael2
Publikováno v:
American Journal of Distance Education. Oct-Dec2023, Vol. 37 Issue 4, p327-332. 6p.
Autor:
Mallick, Saswat Subhajyoti, Goel, Rahul, Kerbl, Bernhard, Carrasco, Francisco Vicente, Steinberger, Markus, De La Torre, Fernando
3D Gaussian Splatting (3DGS) has transformed novel-view synthesis with its fast, interpretable, and high-fidelity rendering. However, its resource requirements limit its usability. Especially on constrained devices, training performance degrades quic
Externí odkaz:
http://arxiv.org/abs/2406.15643