Cover Image

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Dengyang, Jin, Xin, Liu, Dongyang, Wang, Zanyi, Zheng, Mingzhe, Du, Ruoyi, Yang, Xiangpeng, Wu, Qilong, Li, Zhen, Gao, Peng, Yang, Harry, Hoi, Steven
Format:	Preprint
Published:	2026
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

Distribution Matching Distillation Meets Reinforcement Learning
by: Jiang, Dengyang, et al.
Published: (2025)

StepOPSD: Step-Aware Online Preference Distillation for Agent Reinforcement Learning
by: Zhang, Yanfei, et al.
Published: (2026)

Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
by: Liu, Dongyang, et al.
Published: (2025)

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
by: Image Team, et al.
Published: (2025)

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

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation
by: Wang, Zhendong, et al.
Published: (2024)

One-Step Flow Policy: Self-Distillation for Fast Visuomotor Policies
by: Li, Shaolong, et al.
Published: (2026)

Adversarial Concept Distillation for One-Step Diffusion Personalization
by: Yang, Yixiong, et al.
Published: (2025)

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

SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
by: Chen, Junsong, et al.
Published: (2025)

Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning
by: Yang, Xuewei, et al.
Published: (2026)

One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow
by: Jutras-Dube, Pascal, et al.
Published: (2025)

Few-Step Diffusion Language Models via Trajectory Self-Distillation
by: Zhang, Tunyu, et al.
Published: (2026)

Deforming Videos to Masks: Flow Matching for Referring Video Segmentation
by: Wang, Zanyi, et al.
Published: (2025)

A Distilled Low-Latency Neural Vocoder with Explicit Amplitude and Phase Prediction
by: Du, Hui-Peng, et al.
Published: (2025)

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
by: Zhao, Siyan, et al.
Published: (2026)

Infinite Mask Diffusion for Few-Step Distillation
by: Yoo, Jaehoon, et al.
Published: (2026)

PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence
by: Xu, Yuanda, et al.
Published: (2026)

OISD: On-Policy Internal Self-Distillation of Language Models
by: Liu, Xinyu, et al.
Published: (2026)

Collaborative Few-Step Distillation and Low-Bit Quantization for Wan2.2 Dual-Expert Video Diffusion Models
by: Du, Jinyang, et al.
Published: (2026)

Teacher-Feature Drifting: One-Step Diffusion Distillation with Pretrained Diffusion Representations
by: Zhang, Yuan, et al.
Published: (2026)

AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation
by: Gu, Yuchao, et al.
Published: (2026)

Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds
by: Li, Liuzhuozheng, et al.
Published: (2026)

ROSD: Reflective On-Policy Self-Distillation for Language Model Reasoning across Domains
by: Zhao, Ziqi, et al.
Published: (2026)

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning
by: Zhao, Yingnan, et al.
Published: (2025)

From Structure to Detail: Hierarchical Distillation for Efficient Diffusion Model
by: Cheng, Hanbo, et al.
Published: (2025)

Co-Evolving Policy Distillation
by: Gu, Naibin, et al.
Published: (2026)

Step Rejection Fine-Tuning: A Practical Distillation Recipe
by: Slinko, Igor, et al.
Published: (2026)

DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models
by: Li, Quanhao, et al.
Published: (2026)

One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation
by: Wu, Xue, et al.
Published: (2025)

HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation
by: Ding, Ken
Published: (2026)

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

Few-Step Diffusion via Score identity Distillation
by: Zhou, Mingyuan, et al.
Published: (2025)

Clockwork Diffusion: Efficient Generation With Model-Step Distillation
by: Habibian, Amirhossein, et al.
Published: (2023)

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
by: Zhou, Mingyuan, et al.
Published: (2024)

MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
by: Wang, Jianze, et al.
Published: (2026)

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
by: Miao, Zichen, et al.
Published: (2024)

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
by: Chen, Hailin, et al.
Published: (2023)

One Step Diffusion-based Super-Resolution with Time-Aware Distillation
by: He, Xiao, et al.
Published: (2024)

OPSDL: On-Policy Self-Distillation for Long-Context Language Models
by: Zhang, Xinsen, et al.
Published: (2026)