Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Han, Songfang"'
Autor:
Zhuang, Peiye, Han, Songfang, Wang, Chaoyang, Siarohin, Aliaksandr, Zou, Jiaxu, Vasilkovsky, Michael, Shakhrai, Vladislav, Korolev, Sergey, Tulyakov, Sergey, Lee, Hsin-Ying
We propose a novel approach for 3D mesh reconstruction from multi-view images. Our method takes inspiration from large reconstruction models like LRM that use a transformer-based triplane generator and a Neural Radiance Field (NeRF) model trained on
Externí odkaz:
http://arxiv.org/abs/2406.05649
Autor:
Jin, Haian, Liu, Isabella, Xu, Peijia, Zhang, Xiaoshuai, Han, Songfang, Bi, Sai, Zhou, Xiaowei, Xu, Zexiang, Su, Hao
We propose TensoIR, a novel inverse rendering approach based on tensor factorization and neural fields. Unlike previous works that use purely MLP-based neural fields, thus suffering from low capacity and high computation costs, we extend TensoRF, a s
Externí odkaz:
http://arxiv.org/abs/2304.12461
Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current learning methods based on the clean label assumptions may fail with noisy labels. Yet, class labels are
Externí odkaz:
http://arxiv.org/abs/2212.03242
Autor:
Zhang, Xiaoshuai, Chen, Rui, Li, Ang, Xiang, Fanbo, Qin, Yuzhe, Gu, Jiayuan, Ling, Zhan, Liu, Minghua, Zeng, Peiyu, Han, Songfang, Huang, Zhiao, Mu, Tongzhou, Xu, Jing, Su, Hao
In this paper, we focus on the simulation of active stereovision depth sensors, which are popular in both academic and industry communities. Inspired by the underlying mechanism of the sensors, we designed a fully physics-grounded simulation pipeline
Externí odkaz:
http://arxiv.org/abs/2201.11924
Visual Question Answering (VQA) has witnessed tremendous progress in recent years. However, most efforts only focus on the 2D image question answering tasks. In this paper, we present the first attempt at extending VQA to the 3D domain, which can fac
Externí odkaz:
http://arxiv.org/abs/2112.08359
Autor:
Zhao, Fuwei, Xie, Zhenyu, Kampffmeyer, Michael, Dong, Haoye, Han, Songfang, Zheng, Tianxiang, Zhang, Tao, Liang, Xiaodan
Virtual 3D try-on can provide an intuitive and realistic view for online shopping and has a huge potential commercial value. However, existing 3D virtual try-on methods mainly rely on annotated 3D human shapes and garment templates, which hinders the
Externí odkaz:
http://arxiv.org/abs/2108.05126
Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current deep learning methods based on the clean label assumptions may fail with noisy labels. Yet, object clas
Externí odkaz:
http://arxiv.org/abs/2107.14230
Point cloud upsampling is vital for the quality of the mesh in three-dimensional reconstruction. Recent research on point cloud upsampling has achieved great success due to the development of deep learning. However, the existing methods regard point
Externí odkaz:
http://arxiv.org/abs/2102.04317
Single-image 3D shape reconstruction is an important and long-standing problem in computer vision. A plethora of existing works is constantly pushing the state-of-the-art performance in the deep learning era. However, there remains a much more diffic
Externí odkaz:
http://arxiv.org/abs/2012.02493
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