research
∙
09/01/2023
Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair
During Automated Program Repair (APR), it can be challenging to synthesi...
share
research
∙
05/22/2023
ControlVideo: Training-free Controllable Text-to-Video Generation
Text-driven diffusion models have unlocked unprecedented abilities in im...
research
∙
11/11/2022
Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections
The brain's white matter (WM) undergoes developmental and degenerative p...
research
∙
10/25/2022
Practical Program Repair in the Era of Large Pre-trained Language Models
Automated Program Repair (APR) aims to help developers automatically pat...
research
∙
07/21/2022
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration
Generative adversarial networks (GANs) have drawn enormous attention due...
research
∙
07/18/2022
Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks
One-shot generative domain adaption aims to transfer a pre-trained gener...
research
∙
04/06/2022
Retrieval-based Spatially Adaptive Normalization for Semantic Image Synthesis
Semantic image synthesis is a challenging task with many practical appli...
research
∙
08/17/2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation
Unsupervised disentanglement learning is a crucial issue for understandi...
research
∙
08/16/2020