Author

Jian-Fei Chen

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Jul 2026

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution

Diffusion-based methods have achieved impressive performance in real-world image super-resolution (Real-ISR) by leveraging large pre-trained stable diffusion (SD) models as powerful generative priors. However, these methods still face two key limitations. First, existing SD-based one-step and multi-step Real-ISR approa...

Xue Wu, Kang Zhao, Kafeng Wang et al. · arXiv.org · 0 citations

#machine learning Preprint Sep 2026

Why Does Post-Training Quantization Work?

Post-training quantization compresses large language models (LLMs) by storing their weights at reduced precision, and each quantized weight introduces an error into the hidden states. Naively, these errors should accumulate with depth and corrupt next-token prediction; randomly initialized models accumulate these discr...

Yu-Xiang Chen, Michael Beyer, Jun Zhu et al. · 0 citations