7 papers across 3 sessions
We propose a missing data imputation method using rectified flow by following mutual information minimization criterion.
Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
A training-free framework for high-fidelity textured 3D morphing via Flow Models.
A Unified Principle for Generative Modeling, Representation Learning, and Classification
Rectified Point Flow is a single generative model that turns unaligned point clouds into assembled shapes—unifying pairwise registration and multi-part assembly—and sets new state-of-the-art results across five benchmarks.
