% Key papers for Flow matching distillation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2024_flowdiffuser_23487, title = {{FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30407}, } @inproceedings{aaai2025_depthfm_8696, title = {{DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32330}, } @inproceedings{neurips2023_the_69187, title = {{The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/70699}, } @inproceedings{neurips2024_rethinking_73221, title = {{Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94215}, } @inproceedings{iclr2024_consistency_35669, title = {{Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17404}, } @inproceedings{cvpr2025_flowing_26290, title = {{Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32430}, } @inproceedings{icml2024_dirichlet_45565, title = {{Dirichlet Flow Matching with Applications to DNA Sequence Design}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/32887}, } @inproceedings{cvpr2025_diff2flow_25931, title = {{Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32927}, } @inproceedings{aaai2025_self_10716, title = {{Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32269}, } @inproceedings{cvpr2025_hierarchical_26512, title = {{Hierarchical Flow Diffusion for Efficient Frame Interpolation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34364}, } @inproceedings{cvpr2025_scaling_27580, title = {{Scaling Properties of Diffusion Models For Perceptual Tasks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/35141}, } @inproceedings{neurips2025_blockwise_76806, title = {{Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=NBNwoHfMyf}, } @inproceedings{iclr2025_heavy_83796, title = {{Heavy-Tailed Diffusion Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/28024}, } @inproceedings{icml2024_bespoke_43906, title = {{Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34546}, } @inproceedings{icml2024_d_44436, title = {{D-Flow: Differentiating through Flows for Controlled Generation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34016}, } @inproceedings{icml2026_one_52485, title = {{One-step Latent-free Image Generation with Pixel Mean Flows}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=WUK8JIeetF}, } @inproceedings{neurips2022_maximum_65019, title = {{Maximum Likelihood Training of Implicit Nonlinear Diffusion Model}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/53575}, } @inproceedings{neurips2025_scot_76184, title = {{SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=GV82iAD70j}, } @inproceedings{neurips2025_solving_80104, title = {{Solving Inverse Problems with FLAIR}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=w9xETx7HT1}, } @inproceedings{aaai2026_diffmm_106191, title = {{DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38498}, } @inproceedings{aaai2026_rethinking_108278, title = {{Rethinking Flow and Diffusion Bridge Models for Speech Enhancement}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/40630}, } @inproceedings{cvpr2025_see_27601, title = {{See Further When Clear: Curriculum Consistency Model}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32876}, }