StanfordPhysical and Spatial
Intelligence Lab
← Back to news

· Lab news

6 papers accepted to NeurIPS 2026

  1. Spectral Progressive Diffusion for Efficient Image and Video Generation

    H. Xiao, B. Chao, L. Yariv, G. Wetzstein

    NeurIPS 2026

  2. Asymmetric Flow Models

    H. Chen, J. Ackermann, M. Kim, G. Wetzstein, L. Guibas

    NeurIPS 2026

  3. StreetNVS: Effective Multi-sensor Conditioning for Street-view Novel-view Synthesis

    Z. Kuang, A. Sun, L. Zhu, T. Wu, S. Cai, J. Tremblay, I. Armeni, E. Adeli, L. Yariv, G. Wetzstein

    NeurIPS 2026

  4. World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Video

    L. Zhu, S. Huang, A. Mazumdar, T. Li, Z. Gojcic, G. Wetzstein, I. Armeni, S. Mello, A. Trevithick

    NeurIPS 2026

  5. ReGenHuman: Re-Generating Human Appearances for Realistic Full-Body Video Anonymization

    A. Sun, E. Barkataki, A. Milstein, G. Wetzstein, E. Adeli

    NeurIPS 2026

  6. Masked Visual Actions for Unified World Modeling

    H. Alzayer, W. Huang, H. Chen, C. Luey, L. Zhang, M. Agrawala, G. Wetzstein, L. Fei-Fei, Y. Du, J. Wu, J. Huang

    NeurIPS 2026