1 code implementation • Under review for Transaction 2024 • Mu Hu, Wei Yin, Chi Zhang, Zhipeng Cai, Xiaoxiao Long, Hao Chen, Kaixuan Wang, Gang Yu, Chunhua Shen, Shaojie Shen
For metric depth estimation, we show that the key to a zero-shot single-view model lies in resolving the metric ambiguity from various camera models and large-scale data training.
Ranked #1 on Surface Normals Estimation on NYU Depth v2 (using extra training data)
no code implementations • 18 Mar 2024 • Xiao Fu, Wei Yin, Mu Hu, Kaixuan Wang, Yuexin Ma, Ping Tan, Shaojie Shen, Dahua Lin, Xiaoxiao Long
We introduce GeoWizard, a new generative foundation model designed for estimating geometric attributes, e. g., depth and normals, from single images.
1 code implementation • CVPR 2022 • Mu Hu, Junyi Feng, Jiashen Hua, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xiansheng Hua
Structural re-parameterization has drawn increasing attention in various computer vision tasks.
3 code implementations • 1 Mar 2021 • Mu Hu, Shuling Wang, Bin Li, Shiyu Ning, Li Fan, Xiaojin Gong
More specifically, one branch inputs a color image and a sparse depth map to predict a dense depth map.
Ranked #3 on Depth Completion on KITTI Depth Completion
no code implementations • 5 Jan 2021 • Bin Li, Mu Hu, Shuling Wang, Lianghao Wang, Xiaojin Gong
To this end, we design a self-supervised visual-lidar odometry (Self-VLO) framework.