3 papers
cs.CV2024
Coherent Video Inpainting Using Optical Flow-Guided Efficient Diffusion
Bohai Gu, Hao Luo, Song Guo +2
The text-guided video inpainting technique has significantly improved the performance of content generation applications. A recent family for these improvements uses diffusion mode…
cs.CV2024
Random Sampling for Diffusion-based Adversarial Purification
Jiancheng Zhang, Peiran Dong, Yongyong Chen +2
Denoising Diffusion Probabilistic Models (DDPMs) have gained great attention in adversarial purification. Current diffusion-based works focus on designing effective condition-guide…
cs.CV2023
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning
Ziming Liu, Jingcai Guo, Xiaocheng Lu +3
This paper investigates a challenging problem of zero-shot learning in the multi-label scenario (MLZSL), wherein, the model is trained to recognize multiple unseen classes within a…