3D Representation Learning

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15 papers in the last four weeks, up 67% on the four weeks before. 0.1% of all new papers.

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  1. ActiveLang: Active Open-Vocabulary 3D Mapping with Semantic-Uncertainty-Guided Exploration

    Oct 7, 2026Liyan Chen, Hairong Yin, Huangying Zhan +33D Scene RepresentationOpen-Vocabulary 3D Segmentation

    Stevens Institute of Technology · Purdue University · Goertek Alpha Labs

  2. Atom-JEPA: Joint-Embedding Predictive Architecture for 3D Atomistic Systems

    Oct 6, 2026Kasper Helverskov Petersen, Rasmus Hannibal Tirsgaard, François R J Cornet +2Joint-Embedding Predictive ArchitectureMaterials Property Prediction

    Department of Applied Mathematics and Computer Science Technical University of Denmark

  3. SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation

    Oct 1, 2026Tianjiao Yu, Xinzhuo Li, Yifan Shen +43D Shape Generation3D Representation Learning

    University of Illinois Urbana-Champaign

  4. PAGER: Partial-to-global Alignment via Geometric and Relational Distillation

    Oct 1, 2026Akira-Miranda Adeyomi Adeniran-Lowe, Binod Singh, Lars Arnold Dethlefsen +23D Semantic Segmentation3D Representation Learning

    Technical University of Denmark · Pioneer Center for Artificial Intelligence

  5. Planning Oriented 3D Scene Completion via Coupled TUDF Occupancy Representation Learning from Partial Observations

    Sep 29, 2026Tianyou Yu, Pengfei Zhao, Chao Xu3D Occupancy Prediction3D Representation Learning

    Institute of Cyber-System and Control, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China.

  6. From Surfaces to Volumes: Registered Geometry for Protein Representation Learning

    Sep 28, 2026Siyuan Chen, Cai Zhou, Jinrui Zhang +8Protein-Protein Interaction Prediction3D Representation Learning

    University of British Columbia · Massachusetts Institute of Technology · Carnegie Mellon University +2

  7. Sparse-View Interpretable 3D Animal Behavior Representations for Neural Encoding and Decoding

    Sep 28, 2026Xinming Dai, Qihang Jin, Tianshu Tan +8Representation LearningSparse-View 3D Reconstruction

    Columbia University · University of Science and Technology of China · Harvard University +3

  8. LEGAU: Learning Semantic Gaussian Priors for Scalable Category-level Pose Estimation

    Sep 28, 2026Hongli Xu, Zhaowei Lu, Junwen Huang +5Object Pose Estimation3D Representation Learning

    Technical University of Munich Munich, Germany · Munich Center for Machine Learning Munich, Germany · Siemens AG Munich, Germany +1

  9. PGL-3D: Towards Progressive Geometric Learning for 3D Visual Query Localization

    Sep 27, 2026Liang Peng, Shizhuo Mu, Bohan Tan +6Geometric Representation Learning3D Representation Learning

    School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University · University of North Texas · Institute of Software, Chinese Academy of Sciences

  10. KeyGen: Unsupervised Keypoint based Object-Centric Representations for Category-Level Policy Generalization

    Sep 23, 2026Shuxin Cao, Liquan Wang, Masoud Moghani +2Point Cloud LearningGeneralization in Robotic Manipulation

    Georgia Institute of Technology · University of Toronto

  11. From Alignment to Fusion in 3D Vision-Language

    Sep 23, 2026Xueqi Qiu, Xingyu Miao, Jingjing Deng +33D Representation LearningVision-Language Alignment

    School of Engineering Mathematics and Technology, University of Bristol, Bristol, UK · Department of Automation, Tsinghua University, Beijing, China · UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, Beijing 100049, China

  12. GAE: Learning a Geometry-Native Latent Space for 3D-Consistent World Generation

    Sep 21, 2026Jiahao Lu, Minghao Yin, Wenbo Hu +53D Scene Generation3D Scene Representation

    The Hong Kong University of Science and Technology · ARC Lab, Tencent IEG · The University of Hong Kong +1

  13. ParticleSplat: Self-supervised Object-centric Latent Particle Splatting

    Sep 16, 2026Lyuxing He, Daniel Guo, Elizabeth Terveen +33D Gaussian SplattingObject-Centric Representation Learning

    Robotics Institute, Carnegie Mellon University

  14. PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics

    Sep 16, 2026Bardienus P. Duisterhof, Kaifeng Zhang, Adam Hung +53D Point Tracking3D Representation Learning

    CMU · Columbia · NVIDIA

  15. Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations

    Sep 12, 2026Heinrich Jiang, Hager Yasser Mohamed, Alexander Hitt +3Graph Representation Learning3D Representation Learning

    StoryGold AI

  16. Geometry Without Coordinates: LiDAR Diffusion as a 3D Feature Bridge

    Sep 9, 2026Samed Doğan, Nico Leuze, Alfred Schöttl3D Semantic SegmentationTransfer Learning

    Department of Electrical Engineering and Information Technology Munich University of Applied Sciences Munich, Bavaria 80335

  17. RoMa-ΩΩ: What Feed-Forward 3D Models Know About Image Matching

    Sep 8, 2026David Nordström, Xinyue Zhang, Thibaut Loiseau +2Image Matching3D Representation Learning

    Chalmers University of Technology, Sweden · Mobile Perception Lab, ShanghaiTech University, China · LIGM, Ecole des Ponts, Univ. Gustave Eiffel, CNRS, France

  18. ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes

    Sep 1, 2026Mingda Lin, Weijie Wang, Zeyu Zhang +73D Reconstruction3D Representation Learning

    1Zhejiang University · 2Monash University · University of Adelaide

  19. Revisiting Cross-View Completion: Self-Supervised Pre-Training via Reconstruction Error Comparison

    Sep 1, 2026Thibaut Loiseau, Guillaume Bourmaud, Vincent LepetitSelf-Supervised Pre-Training3D Representation Learning

    LIGM, Ecole Nationale des Ponts et Chaussées, IP Paris, Univ Gustave Eiffel, CNRS, France · Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, France

  20. Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations

    Sep 1, 2026Qingde Li, Qingqi Hong, Zihan Li +1Representation LearningGeometric Representation Learning

    Computer Science, School of Digital and Physical Sciences, University of Hull, HU6 7RX, UK · The Institute of Artificial Intelligence, Xiamen University, Xiamen, China

  21. Feed-Forward Multi-view Multi-person Reconstruction with Contrastive Human-Aware 3D Representation

    Sep 1, 2026Yuanwang Yang, Buzhen Huang, Zongxuan Ren +2Multi-View 3D Reconstruction3D Human Reconstruction

    College of Intelligence and Computing, Tianjin University, 135 Yaguan Road, Tianjin, 300350, Tianjin, China.

  22. Rotational Equivariance in Machine Learning: A Comprehensive Tutorial

    Aug 31, 2026Peter Lippmann, Fred A. HamprechtEquivariant Neural NetworksGeometric Representation Learning

    Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, 69120 Heidelberg, Germany

  23. DINOcular: Self-Supervised Visuospatial Representations

    Aug 27, 2026Farkhat Almukhamedov, Sami Azirar, Hermann BlumVisual Representation LearningGeometric Representation Learning

    Robot Perception and Learning Lab University of Bonn & Lamarr Institute

  24. DDMS: Discriminative Distillation of Multi-view Foundational Features into Single-view Models

    Aug 24, 2026Jeong-gi Kwak, Sho Kagami, Yuki Ono +1Multi-View ConsistencyVisual Representation Learning

    University of British Columbia · Sony Semiconductor Solutions Corporation · Sony Corporation

  25. Geometry-Grounded Unified 3D Perception for Autonomous Driving

    Aug 13, 2026Longfei Xu, Xiaohui Wang, Zehao Huang +4Depth EstimationAutonomous Driving Perception

    School of Computer Science and Engineering Beihang University Beijing, China · School of Computer Science Beijing University of Posts and Telecommunications Beijing, China · School of Artificial Intelligence Beihang University Beijing, China

  26. STAR: A Spatial-Topology Aware Routing Framework for Generalizable 3D Scene Understanding

    Aug 12, 2026Mingwei Xing, Xinliang Wang, Yifeng ShiSparse Mixture-of-ExpertsDomain Generalization

    KE Holdings Inc.

  27. LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models

    Aug 6, 2026Jiarui Yang, Jiale Zhange, Jiawei Li +5Latent Action LearningWorld Models for Robotics

    Nankai University · Tsinghua University · Swiss Federal Institute of Technology in Lausanne (EPFL) +1

  28. Physics-Based Molecular Fingerprints from Spectral Graph Theory Provide Efficient Geometry-Aware Measures of Chemical Similarity

    Aug 5, 2026Jacob W. Toney, Ayleen Y. Farnood, Samir Darouich +13D Representation LearningSpectral Methods

    Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA · Center for Computational Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA · Institute for Theoretical Chemistry, University of Stuttgart, 70569 Stuttgart, Germany +2

  29. VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification

    Aug 3, 2026Chao Ji, Shiyu Xuan, Zechao Li3D Representation LearningInvariant Representation Learning

    School of Computer Science and Engineering, Nanjing University of Science and Technology

  30. Beyond Global Latents: Chunk-Based Sparse Grid VAE for Scalable 3D Modeling

    Aug 3, 2026Kaiyi Zhang, Zhihao Liang, Haolin Liu +8Variational AutoencodersAutoencoders

    Hong Kong University of Science and Technology · Tencent Hunyuan · The Chinese University of Hong Kong