no code implementations • 28 Apr 2024 • Zhiyao Zhang, Yunzhou Zhang, Yanmin Wu, Bin Zhao, Xingshuo Wang, Rui Tian
With the emergence of Neural Radiance Fields (NeRF), neural implicit representations have gained widespread applications across various domains, including simultaneous localization and mapping.
no code implementations • 1 Apr 2024 • Jiarui Meng, Haijie Li, Yanmin Wu, Qiankun Gao, Shuzhou Yang, Jian Zhang, Siwei Ma
3D Gaussian Splatting (3DGS) has marked a significant breakthrough in the realm of 3D scene reconstruction and novel view synthesis.
no code implementations • 18 Dec 2023 • Yanmin Wu, Qiankun Gao, Renrui Zhang, Jian Zhang
The scale and quality of point cloud datasets constrain the advancement of point cloud learning.
no code implementations • 8 Dec 2023 • Yahao Shi, Yanmin Wu, Chenming Wu, Xing Liu, Chen Zhao, Haocheng Feng, Jingtuo Liu, Liangjun Zhang, Jian Zhang, Bin Zhou, Errui Ding, Jingdong Wang
This paper presents GIR, a 3D Gaussian Inverse Rendering method for relightable scene factorization.
no code implementations • 29 Sep 2023 • Linghao Yang, Yanmin Wu, Yu Deng, Rui Tian, Xinggang Hu, Tiefeng Ma
Subsequently, in the part of object state estimation, we propose a tightly coupled optimization model for object pose and scale estimation, incorporating hybrids constraints into a novel dual sliding window optimization framework for joint estimation.
no code implementations • 12 May 2023 • Yanmin Wu, Yunzhou Zhang, Delong Zhu, Zhiqiang Deng, Wenkai Sun, Xin Chen, Jian Zhang
Taking into consideration the semantic invariance of objects, we convert the object map to a topological map to provide semantic descriptors to enable multi-map matching.
1 code implementation • ICCV 2023 • Shuzhou Yang, Moxuan Ding, Yanmin Wu, Zihan Li, Jian Zhang
Finally, extensive experiments demonstrate the robustness and superior effectiveness of our proposed NeRCo.
1 code implementation • 3 Mar 2023 • You Shen, Yunzhou Zhang, Yanmin Wu, Zhenyu Wang, Linghao Yang, Sonya Coleman, Dermot Kerr
Specifically, we design the Pillar-based Shape Completion (PSC) module to predict the probability of occupancy whether a pillar contains object shapes.
no code implementations • CVPR 2023 • Xinhua Cheng, Yanmin Wu, Mengxi Jia, Qian Wang, Jian Zhang
In this work, we attempt to learn an object-compositional neural implicit representation for editable scene rendering by leveraging labels inferred from the off-the-shelf 2D panoptic segmentation networks instead of the ground truth annotations.
2 code implementations • CVPR 2023 • Yanmin Wu, Xinhua Cheng, Renrui Zhang, Zesen Cheng, Jian Zhang
3D visual grounding aims to find the object within point clouds mentioned by free-form natural language descriptions with rich semantic cues.
1 code implementation • 3 Dec 2020 • Yanmin Wu, Yunzhou Zhang, Delong Zhu, Xin Chen, Sonya Coleman, Wenkai Sun, Xinggang Hu, Zhiqiang Deng
The framework is built on an object SLAM system integrated with a simultaneous multi-object pose estimation process that is optimized for robotic grasping.
2 code implementations • 27 Apr 2020 • Yanmin Wu, Yunzhou Zhang, Delong Zhu, Yonghui Feng, Sonya Coleman, Dermot Kerr
Object-level data association and pose estimation play a fundamental role in semantic SLAM, which remain unsolved due to the lack of robust and accurate algorithms.