Guangkai Xu

Orcid: 0000-0001-9669-0381

According to our database1, Guangkai Xu authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation.
CoRR, April, 2026

2025
POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction.
CoRR, April, 2025

Generative Video Matting.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

POMATO: Marrying Pointmap Matching with Temporal Motions for Dynamic 3D Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Towards Domain-agnostic Depth Completion.
Mach. Intell. Res., August, 2024

GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models.
CoRR, 2024

Diffusion Models Trained with Large Data Are Transferable Visual Models.
CoRR, 2024

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


2022
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families.
CoRR, 2022

Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation.
CoRR, 2022


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