Author

Pengfei Wan

h-index 2 View on Semantic Scholar

We have 3 of 8 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

PixelMoE: Scaling Pixel-Space Diffusion with LLM-Style Mixture-of-Experts

Pixel-space diffusion models provide an appealing alternative to latent-space diffusion models by directly modeling raw images without relying on a learned tokenizer. However, scaling pixel-space models has predominantly followed dense strategies, tightly coupling model capacity with active computation. In this work, w...

Rui-Xiao Dong, Jian-Min Bao, Bo-Zhi Luan et al. · 0 citations

#machine learning Preprint Oct 2026

DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models

Online reinforcement learning (RL) fine-tunes diffusion models with black-box rewards, but reverse-process methods such as Flow-GRPO are limited in efficiency by poor credit assignment, while forward-process methods such as DiffusionNFT are efficient yet unstable without carefully tuned exponential-moving-average (EMA)...

Zheng-Lin Wan, Jia-Yu Chen, Zhengfeiyang Zhang et al. · 0 citations

Preprint Jul 2026

Temporal Concentration from Rollout Errors: Implicit Preference Optimization for Text-to-Video Diffusion

Concentrated Implicit Preference Optimization (cIPO) is proposed, a post-training framework for video diffusion models that captures inference-time errors without requiring human annotations or external reward models and consistently enhances video authenticity and temporal coherence across multiple datasets.

Henglin Liu, Fangyuan Kong, Jing Wang et al. · 0 citations