Guangkai Xu

According to our database, Guangkai Xu authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Generative Video Matting.

Yongtao Ge, Kangyang Xie, Guangkai Xu, Mingyu Liu, Li Ke, Longtao Huang, Hui Xue, Hao Chen, Chunhua Shen

CoRR, August, 2025

POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction.

Songyan Zhang, Yongtao Ge, Jinyuan Tian, Guangkai Xu, Hao Chen, Chen Lv, Chunhua Shen

CoRR, April, 2025

What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?

Guangkai Xu, Yongtao Ge, Mingyu Liu, Chengxiang Fan, Kangyang Xie, Zhiyue Zhao, Hao Chen, Chunhua Shen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation.

Xiankang He, Guangkai Xu, Bo Zhang, Hao Chen, Ying Cui, Dongyan Guo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Towards Domain-agnostic Depth Completion.

Guangkai Xu, Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Jia-Wang Bian

Mach. Intell. Res., August, 2024

GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models.

Yongtao Ge, Guangkai Xu, Zhiyue Zhao, Libo Sun, Zheng Huang, Yanlong Sun, Hao Chen, Chunhua Shen

CoRR, 2024

Diffusion Models Trained with Large Data Are Transferable Visual Models.

Guangkai Xu, Yongtao Ge, Mingyu Liu, Chengxiang Fan, Kangyang Xie, Zhiyue Zhao, Hao Chen, Chunhua Shen

CoRR, 2024

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation.

Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints.

Xinyi Yu, Liqin Lu, Jintao Rong, Guangkai Xu, Linlin Ou

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models.

Guangkai Xu, Wei Yin, Hao Chen, Chunhua Shen, Kai Cheng, Feng Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The Second Monocular Depth Estimation Challenge.

Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DETRDistill: A Universal Knowledge Distillation Framework for DETR-families.

Jiahao Chang, Shuo Wang, Guangkai Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao

CoRR, 2022

Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation.

Kai Cheng, Hao Chen, Wei Yin, Guangkai Xu, Xuejin Chen

CoRR, 2022