4 papers
Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution
Jingkai Wang, Yixin Tang, Jue Gong +6
Diffusion transformer (DiT) architectures show great potential for real-world image super-resolution (Real-ISR). However, their computationally expensive iterative sampling necessi…
LSGQuant: Layer-Sensitivity Guided Quantization for One-Step Diffusion Real-World Video Super-Resolution
Tianxing Wu, Zheng Chen, Cirou Xu +5
One-Step Diffusion Models have demonstrated promising capability and fast inference in video super-resolution (VSR) for real-world. Nevertheless, the substantial model size and hig…
HonestFace: Towards Honest Face Restoration with One-Step Diffusion Model
Jingkai Wang, Wu Miao, Jue Gong +5
Face restoration has achieved significant advancements through the years of development. However, maintaining high fidelity and authenticity while avoiding artifacts remains challe…
OSDFace: One-Step Diffusion Model for Face Restoration
Jingkai Wang, Jue Gong, Lin Zhang +6
Diffusion models have demonstrated impressive performance in face restoration. Yet, their multi-step inference process remains computationally intensive, limiting their applicabili…