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洞見 - Post-Training Quantization for Diffusion Models
Quantization Noise Correction Scheme for Efficient Diffusion Model Inference
A novel post-training quantization scheme, QNCD, that effectively mitigates both intra and inter quantization noise in diffusion models, enabling efficient low-bit inference while preserving high-quality image synthesis.
Accurate Post-training Quantization for Efficient Diffusion Model Deployment
An accurate post-training quantization framework for diffusion models that reduces quantization errors across generation timesteps and selects optimal calibration images to enable efficient image generation.
