3rd Workshop on Neural SLAM (NeuSLAM)

In conjunction with ECCV 2026 Malmö, Sweden - Sep 8, 2026 (14:00-18:00)

Over the past two decades, research in the field of Simultaneous Localization and Mapping (SLAM) has undergone a significant evolution, highlighting its critical role in enabling autonomous exploration of unseen environments. This evolution ranges from hand-crafted methods, through the era of deep learning, to more recent developments in the wake of Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting (3DGS) representations.

These latter advancements, in particular, are happening right now at unprecedented speed: indeed, since the first NeRF-inspired SLAM system came out in 2021 -- iMAP: Implicit Mapping and Positioning in Real-Time, ICCV 2021 -- more than 200 papers have been posted on arXiv or published at top-tier conferences in Computer Vision and Machine Learning. For a recent overview, see Tosi et al. "How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey".

This sudden revolution brought excitement to the research community paving the way, on the one hand, for new applications beyond the original purpose of SLAM systems. Among these is the possibility of rendering realistic novel views from unobserved viewpoints, something made possible by the recent advances in novel view synthesis, which further extends the overall SLAM purpose.

On the other hand, new challenges emerged caused by the speed at which newer and newer SLAM systems are being proposed.

For example, as many papers came out in a very short amount of time, most of them are concurrent and did not have the chance to compare to each other, leaving several open questions -- e.g., which are the real key factors in many of these SLAM systems? Which scene representation is the best suited?

The workshop aims to bring researchers together being interested in dense neural SLAM methods and provide a forum for the mutual exchange of experiences, beliefs, intuitions, ideas and future research directions.

With a mix of invited keynote talks of renown experts, a poster session and a panel discussion, we invite people both from academia and industry across all seniority levels to learn from each other and engage in discussions.

Program

14:00 Introduction by the organizers (5 minutes)
14:05 Keynote #1: Andrew Davison (35 minutes)
14:40 Keynote #2: Iro Armeni (35 minutes)
15:15 Poster Session & Coffee break (60 minutes)
16:15 Keynote #3: Vincent Leroy (35 minutes)
16:50 Keynote #4: Torsten Sattler (35 minutes)
17:25 Panel discussion (35 minutes)
18:00 Closing

Posters (15:15 - 16:15, board numbers: 117-141)

Proceedings Track

117 Wave-2DGS: Sparse Local Wave Modulation for Appearance and Geometry Reconstruction
Tzu-Chun Yuan, Tsung-Che Tsai, Wei-Sheng Chen, Tu Kuo Ming

118 QUORUM: Multi-View Feature Consensus for Open-Vocabulary SLAM in Dynamic Scenes
Zaid Nasser, Mikhail Iumanov, Tianhao Li, Maxim Popov, Jaafar Mahmoud, Sergey Kolyubin

119 CGS-SLAM : Collaborative Gaussian Splatting based SLAM for Multi-Agent Reconstruction
Jean-Daniel de Ambrogi, Aladine Chetouani, Vincent Nguyen, Aurélien Chateigner

120 Obj3R: Object-Level 3D Mapping via Multi-Cue Data Association in Dynamic Scenes
Malik Mohrat, Ekaterina Derevyanka, Ilya Obrubov, Ivan Sosin, Sergey Kolyubin

121 Failure or Drift? Evaluating Monocular SLAM under Synthetic and Real-World Corruptions
Abhay Skaria Thomas, Shashank Agnihotri, Margret Keuper

122 Consistency Is Enough: Automatic Rig-Position Selection for Target-Free Rig Priors
Ethan Yu, Yunsik Son

Nectar Track

123 GSVisLoc: Generalizable Visual Localization for Gaussian Splatting Scene Representations
Fadi Khatib, Dror Moran, Guy Trostianetsky, Yoni Kasten, Meirav Galun, Ronen Basri, ICCVW 2025 (CALIPOSE workshop)

124 SLAM-Former: Putting SLAM into One Transformer
Yijun Yuan, Zhuoguang Chen, Kenan Li, Weibang Wang, Minghui Qin, Zhijian Fang, Weicheng Zheng, Hang Zhao, ECCV 2026

125 MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos
Ziren Gong, Xiaohan Li, Fabio Tosi, Ninghui Xu, Stefano Mattoccia, Jianfei Cai, Matteo Poggi, ECCV 2026

126 DINO-SLAM: DINO-informed RGB-D SLAM for Neural Implicit and Explicit Representations
Ziren Gong, Xiaohan Li, Fabio Tosi, Youmin Zhang, Stefano Mattoccia, Jun Wu, Matteo Poggi, ECCV 2026

127 VOCA: Visual Odometry with Codec Awareness
Nouri Alexander Hilscher, Mateo de Mayo, Dominik Muhle, Christoph Otten genannt Hermes, Daniel Cremers, ECCV 2026

128 VIGS-SLAM: Visual Inertial Gaussian Splatting SLAM
Zihan Zhu, Wei Zhang, Moyang Li, Norbert Haala, Marc Pollefeys, Daniel Barath, ECCV 2026

129 DROID-SLAM in the Wild
Moyang Li, Zihan Zhu, Marc Pollefeys, Daniel Barath, CVPR 2026

130 Flow4R: Unifying 4D Reconstruction and Tracking with Scene Flow
Shenhan Qian, Ganlin Zhang, Shangzhe Wu, Daniel Cremers, ECCV 2026

131 UniTriSplat: A Unified 3D Gaussian Splatting Framework with Uniform Spherical Rasterization for Universal Cameras
Yipeng Zhu, Huajian Huang, Tristan Braud, Sai-Kit Yeung, ECCV 2026

132 Boosting 3D Foundation Models with Edge-based Pose Optimization
Mattia D'Urso, Christian Sormann, Mattia Rossi, Friedrich Fraundorfer, ECCV 2026

133 SA-ResGS: Self-Augmented Residual 3D Gaussian Splatting for Next Best View Selection
Kim Jun-Seong, Tae-Hyun Oh, Eduardo Pérez-Pellitero, Youngkyoon Jang, ECCV 2026

134 Stipple: Real-Time Incremental Gaussian Splatting with Visual-Inertial Tracking
Kilian Northoff, Mateo de Mayo, Daniel Cremers, Arxiv 2026

135 Triangle Splatting SLAM
Nicholas Fry, Eric Dexheimer, Kirill Mazur, Paul H. J. Kelly, Andrew J. Davison, ECCV 2026

136 MLP Splatting: Object-Centric Neural Fields
Shinjeong Kim, Yuzhou Cheng, Xin Kong, Paul H. J. Kelly, Andrew J. Davison, ECCV 2026

137 FullCircle: Effortless 3D Reconstruction from Casual 360° Captures
Yalda Foroutan, Ipek Oztas, Daniel Rebain, Aysegul Dundar, Kwang Moo Yi, Lily Goli, Andrea Tagliasacchi, Arxiv 2026

138 OrthoTrack: Continuous 6-DoF UAV Trajectory Estimation via Orthophoto-Anchored Tracking
Oussema Dhaouadi, Zuria Bauer, Johannes Michael Meier, Olaf Wysocki, Marc Pollefeys, Daniel Cremers, ECCV 2026

139 SwitchSplat: Learning Discrete Object States from Casually Captured Scenes
Yizheng Xie, Yalda Foroutan, George Shramko, Shrisudhan Govindarajan, Daniel Rebain, Andrea Tagliasacchi

140 UniSim-SLAM: Feed-Forward SLAM with Unified Sim(3) Optimization
Inha Lee, Dongjae Jeong, Junhee Lee, Kyungdon Joo, ECCV 2026

141 FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction
Seonghyun Jin, Jong Chul Ye, Arxiv 2026

Please hang your posters only for the duration of the poster session as the boards are shared across various workshops.

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