2 papers
stat.ML2026
Schrödinger Bridges on Lie Group Manifolds for Probabilistic Intrinsic Generation
Shizhe Zhang, Mingyang Zhao, Lei Ma
Generative modeling directly on geometric manifolds can avoid errors introduced by flattening non-Euclidean data, repeated ambient projection, and coordinate inconsistency in Eucli…
cs.CV2024
Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective
Shenghao Xie, Wenqiang Zu, Mingyang Zhao +6
Autoregression in large language models (LLMs) has shown impressive scalability by unifying all language tasks into the next token prediction paradigm. Recently, there is a growing…