3 papers
cs.CV2025
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…
cs.CV2024
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…
cs.DC2024
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…