Cover Image

Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Yihong, Hu, Tianyang, Sun, Jiacheng, Cai, Yujun, Tang, Jing
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adding Additional Control to One-Step Diffusion with Joint Distribution Matching
by: Luo, Yihong, et al.
Published: (2025)

TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
by: Luo, Yihong, et al.
Published: (2026)

Reinforcing Diffusion Models by Direct Group Preference Optimization
by: Luo, Yihong, et al.
Published: (2025)

You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
by: Luo, Yihong, et al.
Published: (2024)

Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls
by: Luo, Yihong, et al.
Published: (2025)

Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation
by: Luo, Yihong, et al.
Published: (2025)

Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
by: Liu, Tao, et al.
Published: (2026)

Energy-Calibrated VAE with Test Time Free Lunch
by: Luo, Yihong, et al.
Published: (2023)

SwiftVideo: A Unified Framework for Few-Step Video Generation through Trajectory-Distribution Alignment
by: Sun, Yanxiao, et al.
Published: (2025)

Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow
by: Zheng, Bowen, et al.
Published: (2026)

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
by: Luo, Weijian, et al.
Published: (2023)

Mitigating Coordinate Prediction Bias from Positional Encoding Failures
by: Tao, Xingjian, et al.
Published: (2025)

FlowSteer: Guiding Few-Step Image Synthesis with Authentic Trajectories
by: Ke, Lei, et al.
Published: (2025)

Aligning Few-Step Diffusion Models with Dense Reward Difference Learning
by: Zhang, Ziyi, et al.
Published: (2024)

SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
by: Wu, Zhuguanyu, et al.
Published: (2026)

Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
by: Xie, Tianyu, et al.
Published: (2025)

Off-the-shelf ChatGPT is a Good Few-shot Human Motion Predictor
by: Qu, Haoxuan, et al.
Published: (2024)

Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning
by: Zhang, Ziyi, et al.
Published: (2025)

LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories
by: Liang, Zhanhao, et al.
Published: (2026)

DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion
by: Han, Chenxu, et al.
Published: (2026)

Consistency Trajectory Matching for One-Step Generative Super-Resolution
by: You, Weiyi, et al.
Published: (2025)

Setting-Matched and Semantics-Scaled Benchmarking of One-Step Generative Models Against Multistep Diffusion and Flow Models
by: Ravishankar, Advaith, et al.
Published: (2026)

Beyond Few-Step Inference: Accelerating Video Diffusion Transformer Model Serving with Inter-Request Caching Reuse
by: Liu, Hao, et al.
Published: (2026)

Optimizing Few-Step Sampler for Diffusion Probabilistic Model
by: Huang, Jen-Yuan
Published: (2024)

BiFM: Bidirectional Flow Matching for Few-Step Image Editing and Generation
by: Dai, Yasong, et al.
Published: (2026)

Optimizing Few-Step Generation with Adaptive Matching Distillation
by: Bai, Lichen, et al.
Published: (2026)

Few-Step Diffusion Sampling Through Instance-Aware Discretizations
by: Yuan, Liangyu, et al.
Published: (2026)

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
by: Zhu, Muzhi, et al.
Published: (2024)

Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning
by: Xu, Huali, et al.
Published: (2024)

Few-shot Calligraphy Style Learning
by: Chen, Fangda, et al.
Published: (2024)

Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
by: Xue, Shuchen, et al.
Published: (2025)

Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models
by: Gupta, Parul, et al.
Published: (2024)

Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image Segmentation
by: Yang, Jie, et al.
Published: (2026)

DyWeight: Dynamic Gradient Weighting for Few-Step Diffusion Sampling
by: Zhao, Tong, et al.
Published: (2026)

TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
by: Dong, Linwei, et al.
Published: (2024)

Accelerating Video Diffusion Models via Distribution Matching
by: Zhu, Yuanzhi, et al.
Published: (2024)

Distilling ODE Solvers of Diffusion Models into Smaller Steps
by: Kim, Sanghwan, et al.
Published: (2023)

Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
by: Fan, Xiangyu, et al.
Published: (2025)

Few-Step Distillation for Text-to-Image Generation: A Practical Guide
by: Pu, Yifan, et al.
Published: (2025)

Reinforcing Few-step Generators via Reward-Tilted Distribution Matching
by: Huang, Yushi, et al.
Published: (2026)