4 papers
Towards Seamless Borders: A Method for Mitigating Inconsistencies in Image Inpainting and Outpainting
Xingzhong Hou, Jie Wu, Boxiao Liu +5
Image inpainting is the task of reconstructing missing or damaged parts of an image in a way that seamlessly blends with the surrounding content. With the advent of advanced genera…
See Further When Clear: Curriculum Consistency Model
Yunpeng Liu, Boxiao Liu, Yi Zhang +4
Significant advances have been made in the sampling efficiency of diffusion models and flow matching models, driven by Consistency Distillation (CD), which trains a student model t…
Brain-Inspired Efficient Pruning: Exploiting Criticality in Spiking Neural Networks
Shuo Chen, Boxiao Liu, Zeshi Liu +1
Spiking Neural Networks (SNNs) have gained significant attention due to the energy-efficient and multiplication-free characteristics. Despite these advantages, deploying large-scal…
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction
Shuai Zhang, Zite Jiang, Haihang You
Graph neural network training is mainly categorized into mini-batch and full-batch training methods. The mini-batch training method samples subgraphs from the original graph in eac…