APEX method achieves extreme compression in diffusion models

Researchers have introduced APEX, a novel method for extreme compression in diffusion models. APEX addresses the reconstruction-generation dilemma by employing a hierarchical latent space and asynchronous denoising across channel groups. This approach allows for improved reconstruction quality without increasing generation complexity. APEX has demonstrated superior performance on ImageNet-512 compared to existing methods, particularly at high compression rates and lower compute budgets. AI

IMPACT This method could lead to more efficient diffusion models, reducing computational costs for generation and reconstruction.

RANK_REASON The cluster contains a research paper detailing a new method for diffusion model compression. [lever_c_demoted from research: ic=1 ai=1.0]

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• alphaXiv
• APEX
• arXiv
• CatalyzeX
• DagsHub
• Gotit.pub
• Hugging Face
• ImageNet-512
• ScienceCast

• paper
• infra

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