ProMoE

Papers using or citing this model 2

• Scaling Rectified Flow Transformers for High-Resolution Image Synthesis 5K citations · 2024 · arXiv (Cornell University) · arXiv

  Diffusion models create data from noise by inverting the forward paths of data towards noise and have emerged as a powerful generative modeling technique for high-dimensional, perceptual data such as images and videos. Rectified flow is...

• Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance · 2025 · arXiv

  Mixture-of-Experts (MoE) has emerged as a powerful paradigm for scaling model capacity while preserving computational efficiency. Despite its notable success in large language models (LLMs), existing attempts to apply MoE to Diffusion...