1 code implementation • ICCV 2023 • Liying Yang, Zhenwei Zhu, Xuxin Lin, Jian Nong, Yanyan Liang
The tokens in each group are sampled from all views and can provide macro representation for the resided view.
Ranked #1 on 3D Object Reconstruction on Data3D−R2N2
1 code implementation • ICCV 2023 • Zhenwei Zhu, Liying Yang, Ning li, Chaohao Jiang, Yanyan Liang
We empirically demonstrate on ShapeNet and confirm that our decoupled learning method is adaptable for unstructured multiple images.
Ranked #2 on 3D Object Reconstruction on Data3D−R2N2
1 code implementation • 4 Nov 2022 • Zhenwei Zhu, Liying Yang, Xuxin Lin, Chaohao Jiang, Ning li, Lin Yang, Yanyan Liang
Deep learning technology has made great progress in multi-view 3D reconstruction tasks.
no code implementations • 29 Sep 2021 • Xiao Jing, Zhenwei Zhu, Hongliang Li, Xin Pei, Yoshua Bengio, Tong Che, Hongyong Song
One of the greatest challenges of reinforcement learning is efficient exploration, especially when training signals are sparse or deceptive.