CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Zheyuan, Lai, Chieh-Hsin, Mitsufuji, Yuki, Ermon, Stefano |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MeanFlow Transformers with Representation Autoencoders
by: Hu, Zheyuan, et al.
Published: (2025)
by: Hu, Zheyuan, et al.
Published: (2025)
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
by: Kim, Dongjun, et al.
Published: (2023)
by: Kim, Dongjun, et al.
Published: (2023)
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
by: Murata, Naoki, et al.
Published: (2024)
by: Murata, Naoki, et al.
Published: (2024)
A Unified View of Score-Based and Drifting Models
by: Lai, Chieh-Hsin, et al.
Published: (2026)
by: Lai, Chieh-Hsin, et al.
Published: (2026)
Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
by: Uppal, Anshuk, et al.
Published: (2025)
by: Uppal, Anshuk, et al.
Published: (2025)
Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
by: Nguyen, Bac, et al.
Published: (2026)
by: Nguyen, Bac, et al.
Published: (2026)
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
by: Kim, Dongjun, et al.
Published: (2024)
by: Kim, Dongjun, et al.
Published: (2024)
VCT: Training Consistency Models with Variational Noise Coupling
by: Silvestri, Gianluigi, et al.
Published: (2025)
by: Silvestri, Gianluigi, et al.
Published: (2025)
$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models
by: Park, Yong-Hyun, et al.
Published: (2024)
by: Park, Yong-Hyun, et al.
Published: (2024)
SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator
by: Takida, Yuhta, et al.
Published: (2025)
by: Takida, Yuhta, et al.
Published: (2025)
A Survey on Diffusion Models for Inverse Problems
by: Daras, Giannis, et al.
Published: (2024)
by: Daras, Giannis, et al.
Published: (2024)
Noise Scheduling as Information-Guided Allocation in Diffusion Training
by: Raya, Gabriel, et al.
Published: (2026)
by: Raya, Gabriel, et al.
Published: (2026)
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
by: Hiranaka, Ayano, et al.
Published: (2024)
by: Hiranaka, Ayano, et al.
Published: (2024)
The Principles of Diffusion Models
by: Lai, Chieh-Hsin, et al.
Published: (2025)
by: Lai, Chieh-Hsin, et al.
Published: (2025)
Understanding, Accelerating, and Improving MeanFlow Training
by: Kim, Jin-Young, et al.
Published: (2025)
by: Kim, Jin-Young, et al.
Published: (2025)
Trajectory Consistency for One-Step Generation on Euler Mean Flows
by: Li, Zhiqi, et al.
Published: (2026)
by: Li, Zhiqi, et al.
Published: (2026)
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
by: Takida, Yuhta, et al.
Published: (2023)
by: Takida, Yuhta, et al.
Published: (2023)
GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning
by: Murata, Naoki, et al.
Published: (2026)
by: Murata, Naoki, et al.
Published: (2026)
On Flow Matching KL Divergence
by: Su, Maojiang, et al.
Published: (2025)
by: Su, Maojiang, et al.
Published: (2025)
Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models
by: Zou, Jade, et al.
Published: (2026)
by: Zou, Jade, et al.
Published: (2026)
Improving Consistency Models with Generator-Augmented Flows
by: Issenhuth, Thibaut, et al.
Published: (2024)
by: Issenhuth, Thibaut, et al.
Published: (2024)
Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception
by: Wang, Rujia, et al.
Published: (2025)
by: Wang, Rujia, et al.
Published: (2025)
AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models
by: Kveton, Branislav, et al.
Published: (2026)
by: Kveton, Branislav, et al.
Published: (2026)
NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows
by: Tarasov, Denis, et al.
Published: (2025)
by: Tarasov, Denis, et al.
Published: (2025)
EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
by: Chang, Jianlei, et al.
Published: (2025)
by: Chang, Jianlei, et al.
Published: (2025)
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
by: Khanna, Samar, et al.
Published: (2024)
by: Khanna, Samar, et al.
Published: (2024)
Improving the Training of Rectified Flows
by: Lee, Sangyun, et al.
Published: (2024)
by: Lee, Sangyun, et al.
Published: (2024)
Consistent Flow Distillation for Text-to-3D Generation
by: Yan, Runjie, et al.
Published: (2025)
by: Yan, Runjie, et al.
Published: (2025)
Temporal Pair Consistency for Variance-Reduced Flow Matching
by: Maduabuchi, Chika, et al.
Published: (2026)
by: Maduabuchi, Chika, et al.
Published: (2026)
Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow
by: Zheng, Bowen, et al.
Published: (2026)
by: Zheng, Bowen, et al.
Published: (2026)
Fast & Efficient Normalizing Flows and Applications of Image Generative Models
by: Nagar, Sandeep
Published: (2025)
by: Nagar, Sandeep
Published: (2025)
Score Distillation of Flow Matching Models
by: Zhou, Mingyuan, et al.
Published: (2025)
by: Zhou, Mingyuan, et al.
Published: (2025)
MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
by: Gao, Huanlin, et al.
Published: (2026)
by: Gao, Huanlin, et al.
Published: (2026)
Training-free Linear Image Inverses via Flows
by: Pokle, Ashwini, et al.
Published: (2023)
by: Pokle, Ashwini, et al.
Published: (2023)
Integration Flow Models
by: Wang, Jingjing, et al.
Published: (2025)
by: Wang, Jingjing, et al.
Published: (2025)
Contextualized Diffusion Models for Text-Guided Image and Video Generation
by: Yang, Ling, et al.
Published: (2024)
by: Yang, Ling, et al.
Published: (2024)
Efficient Flow Matching using Latent Variables
by: Samaddar, Anirban, et al.
Published: (2025)
by: Samaddar, Anirban, et al.
Published: (2025)
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
by: Ma, Pingchuan, et al.
Published: (2025)
by: Ma, Pingchuan, et al.
Published: (2025)
DistillKac: Few-Step Image Generation via Damped Wave Equations
by: Han, Weiqiao, et al.
Published: (2025)
by: Han, Weiqiao, et al.
Published: (2025)
Similar Items
-
MeanFlow Transformers with Representation Autoencoders
by: Hu, Zheyuan, et al.
Published: (2025) -
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
by: Kim, Dongjun, et al.
Published: (2023) -
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
by: Murata, Naoki, et al.
Published: (2024) -
A Unified View of Score-Based and Drifting Models
by: Lai, Chieh-Hsin, et al.
Published: (2026) -
Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
by: Uppal, Anshuk, et al.
Published: (2025)