Qijian Liang Shandong University Jinan Sdu Department Of My research interests involve computer vision and deep learning. i am currently interested in mllm and 3d vision, including spatial reasoning, 3d reconstruction, and 3d gaussian splatting. i have previously conducted some work in 2d scene understanding, especially in scene parsing. Qijian tian shanghai jiao tong university 在 sjtu.edu.cn 的电子邮件经过验证 首页 3d vision computer vision deep learning.
Tian Jing Actrice Qijian tian 1 · xin tan 2 · yuan xie 2 · lizhuang ma 1. we propose a feed forward gaussian splatting model that reconstructs driving scenes from flexible sparse surround view input. Qijian tian, xin tan, yuan xie, lizhuang ma: drivingforward: feed forward 3d gaussian splatting for driving scene reconstruction from flexible surround view input. View a pdf of the paper titled drivingforward: feed forward 3d gaussian splatting for driving scene reconstruction from flexible surround view input, by qijian tian and 3 other authors. Tian, q., tan, x., xie, y., & ma, l. (2025). drivingforward: feed forward 3d gaussian splatting for driving scene reconstruction from flexible surround view input.
Qijian Tian Experiments on the nuscenes dataset show that our model outperforms existing state of the art feed forward and scene optimized reconstruction methods in terms of reconstruction. overview of drivingforward. Fangzhou2000 has 15 repositories available. follow their code on github. View a pdf of the paper titled uniforward: unified 3d scene and semantic field reconstruction via feed forward gaussian splatting from only sparse view images, by qijian tian and 4 other authors. We propose a feed forward gaussian splatting model that unifies 3d scene and semantic field reconstruction. combining 3d scenes with semantic fields facilitates the perception and understanding of the surrounding environment.
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