Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Sabour, Amirmojtaba, Fidler, Sanja, Kreis, Karsten |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
by: Sabour, Amirmojtaba, et al.
Published: (2024)
by: Sabour, Amirmojtaba, et al.
Published: (2024)
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
by: Namekata, Koichi, et al.
Published: (2024)
by: Namekata, Koichi, et al.
Published: (2024)
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
by: Ling, Huan, et al.
Published: (2023)
by: Ling, Huan, et al.
Published: (2023)
ReMatching Dynamic Reconstruction Flow
by: Oblak, Sara, et al.
Published: (2024)
by: Oblak, Sara, et al.
Published: (2024)
Flow Map Distillation Without Data
by: Tong, Shangyuan, et al.
Published: (2025)
by: Tong, Shangyuan, et al.
Published: (2025)
L4GM: Large 4D Gaussian Reconstruction Model
by: Ren, Jiawei, et al.
Published: (2024)
by: Ren, Jiawei, et al.
Published: (2024)
Multi-student Diffusion Distillation for Better One-step Generators
by: Song, Yanke, et al.
Published: (2024)
by: Song, Yanke, et al.
Published: (2024)
VideoPanda: Video Panoramic Diffusion with Multi-view Attention
by: Xie, Kevin, et al.
Published: (2025)
by: Xie, Kevin, et al.
Published: (2025)
Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation
by: Kim, Youngjoong, et al.
Published: (2026)
by: Kim, Youngjoong, et al.
Published: (2026)
XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
by: Ren, Xuanchi, et al.
Published: (2023)
by: Ren, Xuanchi, et al.
Published: (2023)
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
by: Schwarz, Katja, et al.
Published: (2023)
by: Schwarz, Katja, et al.
Published: (2023)
ZeroFlow: Scalable Scene Flow via Distillation
by: Vedder, Kyle, et al.
Published: (2023)
by: Vedder, Kyle, et al.
Published: (2023)
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
by: Xu, Yilun, et al.
Published: (2024)
by: Xu, Yilun, et al.
Published: (2024)
LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception
by: Liao, Yuan-Hong, et al.
Published: (2025)
by: Liao, Yuan-Hong, et al.
Published: (2025)
The Coupling Within: Flow Matching via Distilled Normalizing Flows
by: Berthelot, David, et al.
Published: (2026)
by: Berthelot, David, et al.
Published: (2026)
Aligning Latent Spaces with Flow Priors
by: Li, Yizhuo, et al.
Published: (2025)
by: Li, Yizhuo, et al.
Published: (2025)
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
by: Shen, Tianchang, et al.
Published: (2024)
by: Shen, Tianchang, et al.
Published: (2024)
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
by: Zheng, Kaiwen, et al.
Published: (2025)
by: Zheng, Kaiwen, et al.
Published: (2025)
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
by: Zhang, Dongsu, et al.
Published: (2024)
by: Zhang, Dongsu, et al.
Published: (2024)
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks
by: Anwar, Aqeel, et al.
Published: (2024)
by: Anwar, Aqeel, et al.
Published: (2024)
Continuous Adversarial Flow Models
by: Lin, Shanchuan, et al.
Published: (2026)
by: Lin, Shanchuan, et al.
Published: (2026)
Test-time scaling of diffusions with flow maps
by: Sabour, Amirmojtaba, et al.
Published: (2025)
by: Sabour, Amirmojtaba, et al.
Published: (2025)
Understanding Generalization in Diffusion Distillation via Probability Flow Distance
by: Zhang, Huijie, et al.
Published: (2025)
by: Zhang, Huijie, et al.
Published: (2025)
RadarGen: Automotive Radar Point Cloud Generation from Cameras
by: Borreda, Tomer, et al.
Published: (2025)
by: Borreda, Tomer, et al.
Published: (2025)
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
by: Kim, Jaihoon, et al.
Published: (2025)
by: Kim, Jaihoon, et al.
Published: (2025)
Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models
by: Ai, Xinyue, et al.
Published: (2025)
by: Ai, Xinyue, et al.
Published: (2025)
FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing
by: Kim, Jeongsol, et al.
Published: (2025)
by: Kim, Jeongsol, et al.
Published: (2025)
Score Distillation of Flow Matching Models
by: Zhou, Mingyuan, et al.
Published: (2025)
by: Zhou, Mingyuan, et al.
Published: (2025)
How to Merge Your Multimodal Models Over Time?
by: Dziadzio, Sebastian, et al.
Published: (2024)
by: Dziadzio, Sebastian, et al.
Published: (2024)
Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment
by: Sfountouris, Loukas, et al.
Published: (2025)
by: Sfountouris, Loukas, et al.
Published: (2025)
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
by: Zhang, Qifan, et al.
Published: (2024)
by: Zhang, Qifan, et al.
Published: (2024)
ViR: Towards Efficient Vision Retention Backbones
by: Hatamizadeh, Ali, et al.
Published: (2023)
by: Hatamizadeh, Ali, et al.
Published: (2023)
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
by: Liu, Enshu, et al.
Published: (2024)
by: Liu, Enshu, et al.
Published: (2024)
Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
by: Mammadov, Abbas, et al.
Published: (2026)
by: Mammadov, Abbas, et al.
Published: (2026)
Plug-and-Play Image Restoration with Flow Matching: A Continuous Viewpoint
by: Jia, Fan, et al.
Published: (2025)
by: Jia, Fan, et al.
Published: (2025)
Consistent Flow Distillation for Text-to-3D Generation
by: Yan, Runjie, et al.
Published: (2025)
by: Yan, Runjie, et al.
Published: (2025)
Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
by: Ye, Jinyan, et al.
Published: (2026)
by: Ye, Jinyan, et al.
Published: (2026)
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence
by: Williams, Francis, et al.
Published: (2024)
by: Williams, Francis, et al.
Published: (2024)
Action Dubber: Timing Audible Actions via Inflectional Flow
by: Wan, Wenlong, et al.
Published: (2025)
by: Wan, Wenlong, et al.
Published: (2025)
CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models
by: Hu, Zheyuan, et al.
Published: (2025)
by: Hu, Zheyuan, et al.
Published: (2025)
Similar Items
-
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
by: Sabour, Amirmojtaba, et al.
Published: (2024) -
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
by: Namekata, Koichi, et al.
Published: (2024) -
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
by: Ling, Huan, et al.
Published: (2023) -
ReMatching Dynamic Reconstruction Flow
by: Oblak, Sara, et al.
Published: (2024) -
Flow Map Distillation Without Data
by: Tong, Shangyuan, et al.
Published: (2025)