DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Video Generation
Video diffusion models (VDMs) have achieved impressive progress in text-to-video generation, but their high memory and computational costs hinder practical deployment. Quantization-aware training (QAT) is an effective solution for compressing and accelerating advanced generative models without runtime overhead at infer...
Shuai-Ting Li, Ze-Lin Gao, Haijie Shen et al.
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