Disentangled Representation Learning

Follow this topic Ask about this topic

Momentum

12 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 163

All topics

Bridging the Embodiment Gap: Disentangled Cross-Embodiment Video Editing
May 5, 2026Zhiyuan Li, Wenyan Yang, Wenshuai Zhao +4Disentangled Representation Learning Cross-Embodiment Robot Learning
Department of Electrical Engineering and Automation, Aalto University, Finland · Department of Computer Science, Aalto University, Finland · Hong Kong University of Science and Technology, China +1
Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data
May 5, 2026He Lyu, Huolin Zeng, Junren Wang +7Disentangled Representation Learning Representation Learning
Department of Anesthesiology and West China Biomedical Big Data Center West China Hospital, Sichuan University, Chengdu, China · Med-X Center for Informatics, Sichuan University, Chengdu, China · Department of National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China +4
Disentangled Anatomy-Disease Diffusion (DADD) for Controllable Ulcerative Colitis Progression Synthesis
May 3, 2026Umut Dundar, Alptekin TemizelEndoscopy Disentangled Representation Learning
Graduate School of Informatics Middle East Technical University, Turkey
Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization
Apr 30, 2026Huayu Li, ZhengXiao He, Xiwen Chen +4Disentangled Representation Learning Rate-Distortion Theory
University of Arizona, AZ, USA · Morgan Stanley, NY, USA · Clemson University, SC, USA +2
ZAYAN: Disentangled Contrastive Transformer for Tabular Remote Sensing Data
Apr 30, 2026Al Zadid Sultan Bin Habib, Tanpia Tasnim, Md. Ekramul Islam +1Contrastive Learning Disentangled Representation Learning
Lane Dept. of Computer Science and Electrical Engineering* and Dept. of Geology & Geography+, West Virginia University, Morgantown, WV 26506, USA · Department of Computer Science and Engineering, Green University of Bangladesh, Narayanganj-1461, Bangladesh · Department of Computer Science and Engineering, Stamford University Bangladesh, Dhaka-1217, Bangladesh
SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors
Apr 27, 2026Wadhah Zai El Amri, Nicolás Navarro-GuerreroVision-Based Tactile Sensing Disentangled Representation Learning
Leibniz Universität Hannover, L3S Research Center, Appelstraße 4, Hannover, 30167, Lower Saxony, Germany
Causal Disentanglement-Inspired Degradation Representation Learning for Full-Reference Image Quality Assessment
Apr 23, 2026Zhen Zhang, Jielei Chu, Tian Zhang +5Disentangled Representation Learning Image Quality Assessment
School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756, China · School of Physics, Northeast Normal University, Changchun 130024, China · School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China +2
Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI
Apr 23, 2026Hieu Man, Van-Cuong Pham, Nghia Trung Ngo +2Variational Autoencoders Disentangled Representation Learning
University of Oregon, OR, USA · Adobe Research, CA, USA
ALAS: Adaptive Long-Horizon Action Synthesis via Async-pathway Stream Disentanglement
Apr 22, 2026Yutong Shen, Hangxu Liu, Lei Zhang +4Disentangled Representation Learning Cross-Domain Transfer Learning
Beijing University of Technology · Fudan University · University of Hamburg +2
MD-Face: MoE-Enhanced Label-Free Disentangled Representation for Interactive Facial Attribute Editing
Apr 22, 2026Xuan Cui, Yunfei Zhao, Bo Liu +2Disentangled Representation Learning Unsupervised Representation Learning
Unsupervised Learning of Inter-Object Relationships via Group Homomorphism
Apr 22, 2026Kyotaro Ushida, Takayuki Komatsu, Yoshiyuki Ohmura +1Disentangled Representation Learning Representation Learning
Mechano-Informatics Department, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo 113-8656, Japan
ACT: Anti-Crosstalk Learning for Cross-Sectional Stock Ranking via Temporal Disentanglement and Structural Purification
Apr 22, 2026Juntao Li, Liang ZhangDisentangled Representation Learning Quantitative Finance
School of Computing and Data Science, University of Hong Kong, Hong Kong SAR. · Thrust of Financial Technology, Hong Kong University of Science and Technology (Guangzhou), China.
Disentangling Damage from Operational Variability: A Label-Free Self-Supervised Representation Learning Framework for Output-Only Structural Damage Identification
Apr 21, 2026Xudong Jian, Charikleia Stoura, Simon Scandella +1Disentangled Representation Learning Self-Supervised Time Series Representation Learning
Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, Switzerland. · Department of Mechanical Engineering, Politecnico di Milano, Italy
Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
Apr 21, 2026Xiangmeng Wang, Qian Li, Haiyang Xia +3Disentangled Representation Learning Graph Neural Networks
PortraitDirector: A Hierarchical Disentanglement Framework for Controllable and Real-time Facial Reenactment
Apr 21, 2026Chaonan Ji, Jinwei Qi, Sheng Xu +2Disentangled Representation Learning Representation Disentanglement
Tongyi Lab
Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective
Apr 20, 2026Sijie Mai, Shiqin HanDisentangled Representation Learning Causal Representation Learning
School of Computer Science, South China Normal University
MEDN: Motion-Emotion Feature Decoupling Network for Micro-Expression Recognition
Apr 20, 2026Chenxing Hu, Kun Xie, Qiguang Miao +3Disentangled Representation Learning Vision Transformer
School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China · Xi’an Key Laboratory of Big Data and Intelligent Vision, Xi’an, Shaanxi 710071, China · Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an 710071, China +1
StrEBM: A Structured Latent Energy-Based Model for Blind Source Separation
Apr 19, 2026Yuan-Hao WeiDisentangled Representation Learning Latent Variable Models
CCAR: Intrinsic Robustness as an Emergent Geometric Property
Apr 18, 2026Akash Samanta, Manish Pratap Singh, Debasis ChaudhuriDisentangled Representation Learning Representation Learning
Techno India University, Salt Lake, Kolkata, India · DRDO Young Scientist Laboratory - CT, Chennai, India
Continuous Limits of Coupled Flows in Representation Learning
Apr 18, 2026Zilin Li, Weiwei Xu, Xuchun Tong +2Disentangled Representation Learning Representation Learning
SIIS, Donghua University, Shanghai
Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance
Apr 17, 2026Hamed Ouattara, Pierre Duthon, Pascal Houssam Salmane +2Disentangled Representation Learning Representation Learning
Intelligent Transportation Systems Research Team, Cerema, 8 rue Bernard Palissy, 63017 Clermont-Ferrand, France · Intelligent Transportation Systems Research Team, Cerema, 1 avenue du Colonel Roche, 31400 Toulouse, France · Clermont Auvergne INP, Universit´e Clermont Auvergne, Institut Pascal, CNRS, 4 Avenue Blaise Pascal, 63178 Clermont-Ferrand, France
EviDep: Uncertainty-Aware Multimodal Depression Estimation via Disentangled Evidential Learning
Apr 17, 2026Fangyuan Liu, Sirui Zhao, Yangsong Zhang +5Disentangled Representation Learning Evidential Deep Learning
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China · aSchool of Computer Science and Technology, University of Science and Technology of China, Hefei, China · bSchool of Computer Science and Technology, Laboratory for Brain Science and Artificial Intelligence, Southwest University of Science and Technology, Mianyang, China +1
Disentangle-then-Refine: LLM-Guided Decoupling and Structure-Aware Refinement for Graph Contrastive Learning
Apr 16, 2026Zhaoxing Li, Hai-Feng Zhang, Xiaoming ZhangDisentangled Representation Learning Data Augmentation
Institute of Physical Science and Information Technology, Anhui University · School of Mathematical Sciences, Anhui University · Qinghai Institute of Science and Technology Information, Xining, China
Giving Faces Their Feelings Back: Explicit Emotion Control for Feedforward Single-Image 3D Head Avatars
Apr 16, 2026Yicheng Gong, Jiawei Zhang, Liqiang Liu +6Disentangled Representation Learning 3D Avatar Generation
Nanjing University, Nanjing, China · Microsoft Research Asia, Beijing, China · University of Science and Technology of China, Hefei, China +1
SelfTTS: cross-speaker style transfer through explicit embedding disentanglement and self-refinement using self-augmentation
Mar 23, 2026Lucas H. Ueda, João G. T. Lima, Pedro R. Corrêa +3Disentangled Representation Learning TTS Synthesis
Universidade Estadual de Campinas (UNICAMP), Brazil · CPQD, Brazil
Teacher-Guided Causal Interventions for Image Denoising: Orthogonal Content-Noise Disentanglement in Vision Transformers
Mar 1, 2026Kuai Jiang, Zhaoyan Ding, Guijuan Zhang +2Disentangled Representation Learning Causal Representation Learning
China University of Mining and Technology · Shandong Normal University · Qilu University of Technology
SFL-Net: Source-Factorized Latent Representation Learning for Multi-Contrast MRI to Tau-PET Synthesis
Feb 26, 2026Agamdeep S. Chopra, Caitlin Neher, Tianyi Ren +3Disentangled Representation Learning Multimodal Disentangled Representation Learning
Department of Mechanical Engineering, University of Washington, Seattle, WA, USA · Department of Radiology, University of Washington, Seattle, WA, USA
MeDUET: Disentangled Unified Pretraining for 3D Medical Image Synthesis and Analysis
Feb 19, 2026Junkai Liu, Ling Shao, Le ZhangDisentangled Representation Learning Self-Supervised Pre-Training
School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, England, United Kingdom · UCAS-Terminus AI Laboratory, University of Chinese Academy of Sciences, Beijing 100049, China
From Core to Detail: Unsupervised Disentanglement with Entropy-Ordered Flows
Feb 6, 2026Daniel Galperin, Ullrich KötheUnsupervised Learning Disentangled Representation Learning
Heidelberg University
Semantic Purification for Conditional Representation Learning
Feb 5, 2026Jiaquan Wang, Yan Lyu, Chen Li +1Disentangled Representation Learning Representation Learning
School of Computer Science and Engineering, Southeast University, China · Biomedicine Discovery Institute, Department of Biochemistry and Molecular Biology, Monash University, Australia

May 5, 2026, cs.ROJ/K move · Enter open · S save

Bridging the Embodiment Gap: Disentangled Cross-Embodiment Video Editing

Zhiyuan Li, Wenyan Yang, Wenshuai Zhao, Yue Ma+3

Department of Electrical Engineering and Automation, Aalto University, Finland · Department of Computer Science, Aalto University, Finland · Hong Kong University of Science and Technology, China+1

Disentangled Representation Learning Cross-Embodiment Robot Learning Synthetic Data Generation for Robotics Video Generation Robot Imitation Learning

Open paper AskPDF arXiv

Learning robotic manipulation from human videos is a promising solution to the data bottleneck in robotics, but the distribution shift between humans and robots remains a critical challenge. Existing approaches often produce entangled representations, where task-relevant information is coupled with human-specific kinematics, limiting their adaptability. We propose a generative framework for cross-embodiment video editing that directly addresses this by learning explicitly disentangled task and embodiment representations. Our method factorizes a demonstration video into two orthogonal latent spaces by enforcing a dual contrastive objective: it minimizes mutual information between the spaces to ensure independence while maximizing intra-space consistency to create stable representations. A parameter-efficient adapter injects these latent codes into a frozen video diffusion model, enabling the synthesis of a coherent robot execution video from a single human demonstration, without requiring paired cross-embodiment data. Experiments show our approach generates temporally consistent and morphologically accurate robot demonstrations, offering a scalable solution to leverage internet-scale human video for robot learning.

Momentum

Related topics

Latest papers 163