72 citations · 115 across the 7 of their papers we have counts for
7 papers
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC
Ming Tao, Bing-Kun Bao, Yaowei Wang +1
Large pretrained diffusion models have demonstrated impressive generation capabilities and have been adapted to various downstream tasks. However, unlike Large Language Models (LLM…
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
Ming Tao, Bing-Kun Bao, Hao Tang +2
Story visualization aims to generate a series of realistic and coherent images based on a storyline. Current models adopt a frame-by-frame architecture by transforming the pre-trai…
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Ming Tao, Bing-Kun Bao, Hao Tang +1
Synthesizing high-fidelity complex images from text is challenging. Based on large pretraining, the autoregressive and diffusion models can synthesize photo-realistic images. Altho…
DE-Net: Dynamic Text-guided Image Editing Adversarial Networks
Ming Tao, Bing-Kun Bao, Hao Tang +3
Text-guided image editing models have shown remarkable results. However, there remain two problems. First, they employ fixed manipulation modules for various editing requirements (…
Adversarial Visual Robustness by Causal Intervention
Kaihua Tang, Mingyuan Tao, Hanwang Zhang
Adversarial training is the de facto most promising defense against adversarial examples. Yet, its passive nature inevitably prevents it from being immune to unknown attackers. To…
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
Ming Tao, Hao Tang, Fei Wu +3
Synthesizing high-quality realistic images from text descriptions is a challenging task. Existing text-to-image Generative Adversarial Networks generally employ a stacked architect…
SiENet: Siamese Expansion Network for Image Extrapolation
Xiaofeng Zhang, Feng Chen, Cailing Wang +3
Different from image inpainting, image outpainting has relative less context in the image center to capture and more content at the image border to predict. Therefore, classical en…