Ningli Xu

I'm a 5th year Ph.D. student at The Ohio State University working with Rongjun Qin in Columbus, Ohio.

During my Ph.D. period, I worked on 3D reconstruction of multi-source data including satellite, aerial, UAV, ground-view images; 3D registration of cross-view/cross-source data; View synthesis & generation of ground views from aerial & satellite views.

Email  /  Scholar  /  ResearchGate  /  Github  /  Linkedin

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Publications

Most my works are related to: Computer vision, Generative AI, Diffusion, NeRF, Guassian Splatting. Some works are highlighted.

Skyeyes: Ground Roaming using Aerial View Images
Zhiyuan Gao*, Wenbin Teng*, Gonglin Chen, Jinsen Wu, Ningli Xu, Rongjun Qin, Andrew Feng, Yajie Zhao
WACV 2025
arxiv | project page

SkyEyes is a framework that transforms aerial imagery into realistic street view sequences using 3D Gaussian Splatting, diffusion models, and a constrained optimization strategy to enhance cross-view synthesis quality.

Geospecific View Generation -- Geometry-Context Aware High-resolution Ground View Inference from Satellite Views
Ningli Xu, Rongjun Qin
ECCV 2024 (Oral Presentation, 200/8585, top 2.3%)
paper | dataset | project page | Invited talk at Voxel51

The first work applying diffusion-based method to tackle satellite-to-ground view generation task. It performs ground-view synthesis conditioning on the weak building facades information from satellite images.

Large-scale DSM registration via motion averaging
Ningli Xu, Rongjun Qin
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2024 Best Paper Award (1/229)
paper | slides

Want ICP (iterative closes point) be applied to terrain-scale DSMs (digital surface model) and even multiple noisy DSMs? Check out the proposed DSM-ICP, which applies a fast and exact nearest neighbor search method leveraging the grid structure of DSM.

Multi-tiling neural radiance field (NeRF)—geometric assessment on large-scale aerial datasets
Ningli Xu, Rongjun Qin, Debao Huang, Fabio Remondino
The Photogrammetric Record , 2024 (Cover article of 12/2024 issue)
paper | video | code

NeRF vs Multi-view stereo? We propose multi-camera tiling technique to enable NeRF on large-scale aerial datasets and further conduct experiment to compare their geometry reconstruction performance.

Point cloud registration for LiDAR and photogrammetric data: A critical synthesis and performance analysis on classic and deep learning algorithms
Ningli Xu, Rongjun Qin,Shuang Song
ISPRS Open Journal of Photogrammetry and Remote Sensing , 2023
paper | awesome-registration-papers

Review and evaluation experiment of feature-based and ICP-based registration methods on photogrammetry and LiDAR data.

A volumetric change detection framework using UAV oblique photogrammetry – a case study of ultra-high-resolution monitoring of progressive building collapse
Ningli Xu, Debao Huang, Shuang Song, Xiao Ling, Chris Strasbaugh, Alper Yilmaz, Halil Sezen, Rongjun Qin
International Journal of Digital Earth , 2021
paper | video

Monitoring of progressive building collapse using photogrammetry technique.

Honors and Awards

  • Best Paper Award, ISPRS TC 1 Symposium, ChangSha, China, 2024 (1 out of 229)
  • MCT-NeRF is selected as the Cover article of 12/2024 issue, The Photogrammetry Record

Academic Activity

Invitied Talks

  • Closing the Gap Between Satellite and Street-View Imagery Using Generative Models
    Voxel51 ECCV 2024 Redux, Nov 21, 2024
    Fraunhofer Heinrich Hertz Institute, German Cancer Research Center, Heidelberg University

Reviewer:

  • Neural Information Processing Systems (NeurPIS) 2024
  • British Machine Vision Conference (BMVC) 2024
  • Asian Conference on Computer Vision (ACCV) 2024
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Image Processing (TIP)

Last updated: 05/16/2024