Scaling Transformer-Based Novel View Synthesis Models with Token Disentanglement and Synthetic Data
机构 * Johns Hopkins University(约翰霍普金斯大学) ; Google(谷歌公司)
Comments Accepted at ICCV 2025
高校专区
机构 * Johns Hopkins University(约翰霍普金斯大学) ; Google(谷歌公司)
Comments Accepted at ICCV 2025
机构 * Johns Hopkins University(约翰霍普金斯大学)
机构 * Johns Hopkins University(约翰霍普金斯大学) ; Tsinghua University(清华大学) ; Shanghai Jiao Tong University(上海交通大学) ; Alibaba Group(阿里巴巴集团)
机构 * University of Toronto(多伦多大学) ; University of California San Diego(加州大学圣地亚哥分校) ; Johns Hopkins University(约翰霍普金斯大学)
机构 * Johns Hopkins University(约翰霍普金斯大学)
Comments Website: generative-world-explorer.github.io
机构 * JHU Department of Electrical and Computer Engineering, Johns Hopkins University, MD, USA(约翰霍普金斯大学电气与计算机工程系) ; CUHK Department of Statistics, The Chinese University of Hong Kong, Hong Kong(香港中文大学统计系) ; UPenn Department of Statistics and Data Science, Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA(宾夕法尼亚大学统计与数据科学系) ; ESP Earth Species Project(地球物种计划) ; Yale Department of Statistics and Data Science, Yale University, CT, USA(耶鲁大学统计与数据科学系)
Comments A short version was published in Neural Information Processing Systems (2023); Under Submission
机构 * Johns Hopkins University(约翰霍普金斯大学) ; Chinese University of Hong Kong(香港中文大学) ; NVIDIA ; Tsinghua University(清华大学) ; Brno University of Technology(布拉格技术大学)