Zobrazeno 1 - 10
of 863
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:
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
Autor:
Rai, Aashish, Gupta, Hiresh, Pandey, Ayush, Carrasco, Francisco Vicente, Takagi, Shingo Jason, Aubel, Amaury, Kim, Daeil, Prakash, Aayush, de la Torre, Fernando
In recent years, there has been significant progress in 2D generative face models fueled by applications such as animation, synthetic data generation, and digital avatars. However, due to the absence of 3D information, these 2D models often struggle
Externí odkaz:
http://arxiv.org/abs/2304.12483