Star-Vae

Ask about this topic

Momentum

1 paper in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

Jul 6Week of Sep 21
View on map

Latest papers 20

All topics
CardsList

  1. Semantic Watermarking for Malicious Image Manipulation Detection

    Sep 30, 2026Yoonseo Kim, Seungwoo Baek, Junyoung ParkMulti-Bit WatermarkingMultimedia Forensics

    Korea University, Seoul, South Korea.

  2. Learning Holographic Reduced Representations with Clifford Variational Autoencoders

    Sep 23, 2026Mohamed Malek Abid, P. Michael FurlongStar-VaeHolographic Reduced Representations

    Institute of Neuroinformatics, University of Zurich & ETH Zurich · National Research Council Canada & Centre for Theoretical Neuroscience, Systems Design Engineering, University of Waterloo, Waterloo, Canada

  3. V-RAE: Rethinking Video Latent Spaces for Generation

    Aug 13, 2026Minghui Guo, Shengqiong Wu, Hao FeiAutoregressive Video GenerationStar-Vae

    National University of Singapore · University of Oxford

  4. KVAE: Family of Tokenizers for Multimodal Generative Models

    Aug 6, 2026Andrey Shutkin, Denis Parkhomenko, Ivan Kirillov +11Visual TokenizersStar-Vae

    Kandinsky Lab

  5. Latent-Frequency Validity: Fast Spectral Editing with Screened Video-VAE Transfer Operators

    Aug 4, 2026Bowen Xue, Jiafeng Xiong, Xin QuanStar-VaeVideo Editing

    University of Manchester, United Kingdom · Idiap Research Institute, Switzerland

  6. Where Does Generative Difficulty Reside? An Empirical Study of Target Representations

    Aug 1, 2026Marcel Plocher, Bernhard Schölkopf, Andreas Geiger +1Star-VaeImage Generation

    University of Tübingen, Tübingen, Germany · ETH Zürich, Zürich, Switzerland · Max Planck Institute for Intelligent Systems, Tübingen, Germany +2

  7. MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstruction

    Jul 27, 2026Dehao Hao, Kaiyi Zhang, Tanghui Jia +10Star-VaeVoxel

    The Hong Kong University of Science and Technology, Hong Kong SAR, China · Peking University, Beijing, China · The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China +1

  8. DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation

    Jul 15, 2026Eungjune Shim, Hansol Lee, Eunjung Ju3D Generative Models3D Generation

    CLO Virtual Fashion Inc., South Korea

  9. CASL-VAE: Learning Structured Latent Variables from Unpaired Data for Semi-supervised Clustering and Paired Sample Generation

    Jul 9, 2026Sai Spandana Chintapalli, Pratik Chaudhari, Christos DavatzikosStar-VaeLatent Variable

    Center for AI and Data Science for Integrated Diagnostics, University of Pennsylvania · Department of Bioengineering, University of Pennsylvania · Department of Electrical and Systems Engineering, University of Pennsylvania +1

  10. From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models

    Jul 7, 2026Zanyi Wang, Xin Lin, Haodong Li +2Dense PredictionSingle-Cell Foundation Models

    1UCSD · 2HKUST

  11. Video Generation Models Are Inherent Lighting Estimators

    Jul 6, 2026Ziqi Cai, Shuchen Weng, Kaiqi Liu +5LightingIllumination Variations

    State Key Laboratory of Multimedia Information Processing and National Engineering Research Center of Visual Technology, School of Computer Science, Peking University · Beijing Academy of Artificial Intelligence · School of Software and Microelectronics, Peking University +1

  12. eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions

    Jun 30, 2026Qijun Chen, Shaofan LiConditional Variational AutoencoderStar-Vae

    Department of Civil and Environmental Engineering, University of California, Berkeley, CA, 94720, USA

  13. STAR-VAE: Structured Topology-Aware Regularization for Audio Reconstruction and Generation

    Jun 22, 2026Huadai Liu, Wen Wang, Kaicheng Luo +3Star-VaeModern Generative Audio Models

    Hong Kong University of Science and Technology · Tongyi Fun Team, Alibaba Group.

  14. Smoothing Dark Areas in Molecular Latent Diffusion

    Jun 11, 2026Xi Wang, Jiahan Li, Yuxuan Xia +3Molecular GenerationStar-Vae

    New York University · Stanford University

  15. TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation

    May 14, 2026Bojun Xiong, Zoubin Bi, Xinghui Peng +6High-FidelityStar-Vae

    HUJING Digital Media & Entertainment Group, China

  16. Molecules Meet Language: Confound-Aware Representation Learning and Chemical Property Steering in Transformer-VAE Latent Spaces

    May 7, 2026Zakaria Elabid, Jan Andrzejewski, Bartosz Brzoza +1Molecular Representation LearningMolecular Generation

    Helmholtz-Zentrum Dresden-Rossendorf Center for Advanced Systems Understanding

  17. ViBE: Visual-to-M/EEG Brain Encoding via Spatio-Temporal VAE and Distribution-Aligned Projection

    Apr 29, 2026Ganxi Xu, Zhao-Rong Lai, Yuting Tang +6Electroencephalography DecodingStar-Vae

    Jinan University, Guangzhou, China · The First Affiliated Hospital of Jinan University, Guangzhou, China · Tsinghua University, Beijing, China +2

  18. Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability

    Dec 5, 2025Shizhan Liu, Xinran Deng, Zhuoyi Yang +3Star-VaeConditional Variational Autoencoder

    Zhipu AI, Beijing, China · University of Chinese Academy of Sciences, Beijing, China · Tsinghua University, Beijing, China

  19. STAR-VAE: A Scalable Latent-Variable Transformer for Controllable Molecular Generation

    Nov 4, 2025Bum Chul Kwon, Ben Shapira, Moshiko Raboh +7Molecular GenerationStar-Vae

    IBM Research, Cambridge, MA, USA · IBM Research, Haifa, Israel · IBM Research, Yorktown Heights, NY, USA

  20. DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy

    Aug 16, 2025Frederik L. Dennig, Daniel A. KeimConditional Variational AutoencoderStar-Vae

    University of Konstanz