Research map / Learning theory and algorithms / Optimal transport
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Slicing Wasserstein over Wasserstein via Functional Optimal Transport (ICLR 2026 · similarity 0.91)
- Markovian Sliced Wasserstein Distances: Beyond Independent Projections (NeurIPS 2023 · similarity 0.90)
- Sliced Wasserstein with Random-Path Projecting Directions (ICML 2024 · similarity 0.90)
- Sliced Wasserstein Estimation with Control Variates (ICLR 2024 · similarity 0.90)
- Tree-Sliced Wasserstein Distance with Nonlinear Projection (ICML 2025 · similarity 0.87)
- Fourier Sliced-Wasserstein Embedding for Multisets and Measures (ICLR 2025 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.