PE-OPSD: Internalizing Prompt Enhancement into Flow-matching Models via On-Policy Self-Distillation
cs.LG, cs.CV
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/sleepy1231/PE-OPSD
Terminology
Sources
- OPD-V: Visual On-Policy Self-Distillation with Modality Balance
- Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
- Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty
- Distilling the Knowledge in a Neural Network
- ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
- APE: Agentic Prompt Enhancer for Image Generation and Editing
- D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models
- GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluation
- DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models
- DreOPD: Degraded-Reference Extrapolative On-Policy Distillation for Flow-matching Models
- Flow Matching for Generative Modeling
- OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators
- Improving Text-to-Image Consistency via Automatic Prompt Optimization
- Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits
- Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models
- HunyuanImage 3.0 Technical Report
- PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting
- Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
- Qwen-Image-2.0 Technical Report
- Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
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