Matias Turkulainen

According to our database, Matias Turkulainen authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

Evaluating Fisheye-Compatible 3D Gaussian Splatting Methods on Real Images Beyond 180 Degree Field of View.

Ulas Gunes, Matias Turkulainen, Juho Kannala, Esa Rahtu

CoRR, August, 2025

DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing.

Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov, Otto Seiskari, Esa Rahtu, Juho Kannala

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking.

Ulas Gunes, Matias Turkulainen, Xuqian Ren, Arno Solin, Juho Kannala, Esa Rahtu

Proceedings of the Image Analysis - 23rd Scandinavian Conference, 2025

DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering.

Yihao Wang, Marcus Klasson, Matias Turkulainen, Shuzhe Wang, Juho Kannala, Arno Solin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones.

Xuqian Ren, Matias Turkulainen, Jiepeng Wang, Otto Seiskari, Iaroslav Melekhov, Juho Kannala, Esa Rahtu

Proceedings of the International Conference on 3D Vision, 2025

2024

gsplat: An Open-Source Library for Gaussian Splatting.

Vickie Ye, Ruilong Li, Justin Kerr, Matias Turkulainen, Brent Yi, Zhuoyang Pan, Otto Seiskari, Jianbo Ye, Jeffrey Hu, Matthew Tancik, Angjoo Kanazawa

CoRR, 2024

Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion.

Otto Seiskari, Jerry Ylilammi, Valtteri Kaatrasalo, Pekka Rantalankila, Matias Turkulainen, Juho Kannala, Esa Rahtu, Arno Solin

Proceedings of the Computer Vision - ECCV 2024, 2024

Gaussian Splatting in Mirrors: Reflection-aware Rendering via Virtual Camera Optimization.

Zihan Wang, Shuzhe Wang, Matias Turkulainen, Junyuan Fang, Juho Kannala

Proceedings of the 35th British Machine Vision Conference, 2024