04:00
2026-06-19
arxiv.org
machine-learning
Learning When to Denoise: Optimizing Asynchronous Schedules for Latent Diffusion
Researchers propose a method to learn asynchronous denoising schedules for multi-representation diffusion models, improving visual synthesis. On ImageNet 256x256, their approach achieves FID 1.05 with…