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CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance

Intermediate

Hanyang Wang, Yiyang Liu et al.Mar 3arXiv

This paper turns a popular image-guidance trick (Classifier-Free Guidance) into a feedback-control problem, just like keeping a car steady in its lane.

#Classifier-Free Guidance#Sliding Mode Control#Diffusion Models

E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models

Intermediate

Shengjun Zhang, Zhang Zhang et al.Jan 1arXiv

This paper shows that when teaching image generators with reinforcement learning, only a few early, very noisy steps actually help the model learn what people like.

#E-GRPO#Group Relative Policy Optimization#Flow Matching

One Layer Is Enough: Adapting Pretrained Visual Encoders for Image Generation

Intermediate

Yuan Gao, Chen Chen et al.Dec 8arXiv

This paper shows that we can turn big, smart vision features into a small, easy-to-use code for image generation with just one attention layer.

#Feature Auto-Encoder#FAE#Self-Supervised Learning

Papers3

CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance

E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models

One Layer Is Enough: Adapting Pretrained Visual Encoders for Image Generation