2 papers
cs.CV2025
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling
Rui Qin, Qijie Wang, Ming Sun +3
Diffusion models have gained attention for their success in modeling complex distributions, achieving impressive perceptual quality in SR tasks. However, existing diffusion-based S…
cs.CL2024
FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing
Zekai Li, Jintu Zheng, Ji Liu +9
Recently, large language models (LLMs) have demonstrated superior performance across various tasks by adhering to scaling laws, which significantly increase model size. However, th…