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Bowen Chai

3 accepted papers

2026

LSGQuant: Layer-Sensitivity Guided Quantization for One-Step Diffusion Real-World Video Super-Resolution

ICML 2026poster

One-Step Diffusion Models have demonstrated promising capability and fast inference in real-world Video Super-Resolution (VSR). However, the substantial model size and high computational cost of Diffusion Transformers (DiTs) hinder their practical deployment. While low-bit quantization is a common a…

Cited by 0SourceScholar
2026

QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution

AAAI 2026technical

Diffusion models have shown superior performance in real-world video super-resolution (VSR). However, the slow processing speeds and heavy resource consumption of diffusion models hinder their practical application and deployment. Quantization offers a potential solution for compressing the VSR mode

Cited by 0SourcePDFScholar