Mini-batch-OT. A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.
35EBSW. Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance
18CSW. A novel variant of sliced Wasserstein based on a new slicing technique that utilizes the convolution operator.
12Quasi-SW. Official PyTorch implementation for paper: Quasi-Monte Carlo for 3D Sliced Wasserstein
8RPSW. Official PyTorch implementation for paper: Sliced Wasserstein with Random-Path Projecting Directions
5CV-SW. Official PyTorch implementation for paper: Sliced Wasserstein Estimation with Control Variates
4H2SW. Official PyTorch implementation for paper: Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
3MFSWB. Official PyTorch implementation for paper: Towards Marginal Fairness Sliced Wasserstein Barycenter
2SROT. Python
2StreamSW. Official Python implementation for paper: Streaming Sliced Optimal Transport
1HierarchicalAttentionNetworks. Python
1HSW. Hierarchical Sliced Wasserstein distance is a metric between probability measures that utilizes Hierarchical Radon Transform to projected measures to their one-dimensional projections.
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