Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment

Documenti analoghi

• Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
  di: Ma, Nanye, et al.
  Pubblicazione: (2025)
• Denoising Diffusion Step-aware Models
  di: Yang, Shuai, et al.
  Pubblicazione: (2023)
• Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training
  di: Whalen, Lexington, et al.
  Pubblicazione: (2025)
• Step Saver: Predicting Minimum Denoising Steps for Diffusion Model Image Generation
  di: Yu, Jean, et al.
  Pubblicazione: (2024)
• Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
  di: You, Haoran, et al.
  Pubblicazione: (2021)