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MonoPlane: Exploiting Monocular Geometric Cues for Generalizable 3D Plane Reconstruction
Wang Zhao;Jiachen Liu;Sheng Zhang;Yishu Li;Sili Chen;Sharon X Huang;Yong-Jin Liu;Hengkai Guo
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2024 | Conference Paper |
This paper presents a generalizable 3D plane detection and reconstruction framework named MonoPlane. Unlike previous robust estimator-based works (which require multiple images or RGB-D input) and learning-based works (which suffer from domain shift), MonoPlane combines the best of two worlds and establishes a plane reconstruction pipeline based on monocular geometric cues, resulting in accurate, ...Show More
ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code
Jia Feng;Jiachen Liu;Cuiyun Gao;Chun Yong Chong;Chaozheng Wang;Shan Gao;Xin Xia
2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE)
Year: 2024 | Conference Paper |
In recent years, with the widespread attention of academia and industry on the application of large language models (LLMs) to code-related tasks, an increasing number of large code models (LCMs) have been proposed and corresponding evaluation benchmarks have continually emerged. Although existing evaluation benchmarks are helpful for comparing different LCMs, they may not reflect the performance o...Show More
NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation
2024 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2024 | Conference Paper |
In various applications, such as robotic navigation and remote visual assistance, expanding the field of view (FOV) of the camera proves beneficial for enhancing environmental perception. Unlike image outpainting techniques aimed solely at generating aesthetically pleasing visuals, these applications demand an extended view that faithfully represents the scene. To achieve this, we formulate a new ...Show More
CodeFuse-13B: A Pretrained Multi-Lingual Code Large Language Model
Peng Di;Jianguo Li;Hang Yu;Wei Jiang;Wenting Cai;Yang Cao;Chaoyu Chen;Dajun Chen;Hongwei Chen;Liang Chen;Gang Fan;Jie Gong;Zi Gong;Wen Hu;Tingting Guo;Zhichao Lei;Ting Li;Zheng Li;Ming Liang;Cong Liao;Bingchang Liu;Jiachen Liu;Zhiwei Liu;Shaojun Lu;Min Shen;Guangpei Wang;Huan Wang;Zhi Wang;Zhaogui Xu;Jiawei Yang;Qing Ye;Gehao Zhang;Yu Zhang;Zelin Zhao;Xunjin Zheng;Hailian Zhou;Lifu Zhu;Xianying Zhu
2024 IEEE/ACM 46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
Year: 2024 | Conference Paper |
Code Large Language Models (Code LLMs) have gained significant attention in the industry due to their wide applications in the full lifecycle of software engineering. However, the effectivness of existing models in understanding non-English inputs for multi-lingual code-related tasks is still far from well studied. This paper introduces CODEFuSE-13B, an open-sourced pre-trained code LLM 2. It is s...Show More
CodeFuse-13B: A Pretrained Multi-Lingual Code Large Language Model
Peng Di;Jianguo Li;Hang Yu;Wei Jiang;Wenting Cai;Yang Cao;Chaoyu Chen;Dajun Chen;Hongwei Chen;Liang Chen;Gang Fan;Jie Gong;Zi Gong;Wen Hu;Tingting Guo;Zhichao Lei;Ting Li;Zheng Li;Ming Liang;Cong Liao;Bingchang Liu;Jiachen Liu;Zhiwei Liu;Shaojun Lu;Min Shen;Guangpei Wang;Huan Wang;Zhi Wang;Zhaogui Xu;Jiawei Yang;Qing Ye;Gehao Zhang;Yu Zhang;Zelin Zhao;Xunjin Zheng;Hailian Zhou;Lifu Zhu;Xianying Zhu
Year: 2024 | Conference Paper |
3D-Aware Talking-Head Video Motion Transfer
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Motion transfer of talking-head videos involves generating a new video with the appearance of a subject video and the motion pattern of a driving video. Current methodologies primarily depend on a limited number of subject images and 2D representations, thereby neglecting to fully utilize the multi-view appearance features inherent in the subject video. In this paper, we propose a novel 3D-aware t...Show More
PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
Jiachen Liu;Pan Ji;Nitin Bansal;Changjiang Cai;Qingan Yan;Xiaolei Huang;Yi Xu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2022 | Conference Paper |
Cited by: Papers (32)
We present a novel framework named PlaneMVS for 3D plane reconstruction from multiple input views with known camera poses. Most previous learning-based plane reconstruction methods reconstruct 3D planes from single images, which highly rely on single-view regression and suffer from depth scale ambiguity. In contrast, we reconstruct 3D planes with a multi-view-stereo (MVS) pipeline that takes advan...Show More
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