% Key papers for Rectified flow straightening (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{iclr2023_flow_32731, title = {{Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/11266}, } @inproceedings{icml2019_flowavenet_37379, title = {{FloWaveNet : A Generative Flow for Raw Audio}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2019}, url = {https://icml.cc/virtual/2019/poster/4060}, } @inproceedings{neurips2025_mean_79950, title = {{Mean Flows for One-step Generative Modeling}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=uWj4s7rMnR}, } @inproceedings{cvpr2020_normalizing_15962, title = {{Normalizing Flows With Multi-Scale Autoregressive Priors}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{icml2023_pfgm_43167, title = {{PFGM++: Unlocking the Potential of Physics-Inspired Generative Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2023}, url = {https://icml.cc/virtual/2023/poster/23652}, } @inproceedings{neurips2024_improving_73743, title = {{Improving the Training of Rectified Flows}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93758}, } @inproceedings{cvpr2025_around_25511, title = {{Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/35122}, } @inproceedings{cvpr2025_diverseflow_25975, title = {{DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/35008}, } @inproceedings{icml2025_fireflow_46875, title = {{FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45703}, } @inproceedings{neurips2024_perflow_74060, title = {{PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93469}, } @inproceedings{neurips2025_efficient_77319, title = {{Efficient Rectified Flow for Image Fusion}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=SYgoqXyoaQ}, } @inproceedings{icml2025_reqflow_48053, title = {{ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/44554}, } @inproceedings{neurips2024_flowturbo_70232, title = {{FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96854}, } @inproceedings{neurips2025_redi_75091, title = {{ReDi: Rectified Discrete Flow}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=49QC2D8exO}, } @inproceedings{neurips2025_align_79494, title = {{Align Your Flow: Scaling Continuous-Time Flow Map Distillation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=pzHuesCvcO}, } @inproceedings{cvpr2026_understanding_98373, title = {{Understanding, Accelerating, and Improving MeanFlow Training}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Kim_Understanding_Accelerating_and_Improving_MeanFlow_Training_CVPR_2026_paper.html}, } @inproceedings{cvpr2025_proreflow_27302, title = {{ProReflow: Progressive Reflow with Decomposed Velocity}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34059}, } @inproceedings{icml2025_efficient_46205, title = {{Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/46355}, } @inproceedings{icml2026_efficient_49294, title = {{Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=16CV9RimWM}, } @inproceedings{icml2026_adversarial_49519, title = {{Adversarial Flow Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=3GPPUHlJU9}, } @inproceedings{icml2026_solving_49722, title = {{Solving Inverse Problems with Flow-based Models via Model Predictive Control}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=57lp1pmJVo}, } @inproceedings{icml2026_slerpflow_50067, title = {{SlerpFlow: Spherical Trajectory Correction for Rectified Flow Inversion}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=8kBvoukwPs}, } @inproceedings{icml2026_riemannian_50391, title = {{Riemannian MeanFlow}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=BvWEy6Pznz}, } @inproceedings{icml2026_riemannian_50562, title = {{Riemannian MeanFlow for One-Step Generation on Manifolds}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=DeOm4Axr9W}, }