11 citations · 26 across the 8 of their papers we have counts for
8 papers
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis
Tingfeng Cao, Chengyu Wang, Bingyan Liu +3
Recently, diffusion-based deep generative models (e.g., Stable Diffusion) have shown impressive results in text-to-image synthesis. However, current text-to-image models often requ…
EasyPhoto: Your Smart AI Photo Generator
Ziheng Wu, Jiaqi Xu, Xinyi Zou +3
Stable Diffusion web UI (SD-WebUI) is a comprehensive project that provides a browser interface based on Gradio library for Stable Diffusion models. In this paper, We propose a nov…
Hierarchical Side-Tuning for Vision Transformers
Weifeng Lin, Ziheng Wu, Wentao Yang +3
Fine-tuning pre-trained Vision Transformers (ViTs) has showcased significant promise in enhancing visual recognition tasks. Yet, the demand for individualized and comprehensive fin…
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion
Zhenzhen Chu, Jiayu Chen, Cen Chen +4
Self-attention-based vision transformers (ViTs) have emerged as a highly competitive architecture in computer vision. Unlike convolutional neural networks (CNNs), ViTs are capable…
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis
Zhongjie Duan, Lizhou You, Chengyu Wang +4
In recent years, diffusion models have emerged as the most powerful approach in image synthesis. However, applying these models directly to video synthesis presents challenges, as…
Scale-Aware Modulation Meet Transformer
Weifeng Lin, Ziheng Wu, Jiayu Chen +2
This paper presents a new vision Transformer, Scale-Aware Modulation Transformer (SMT), that can handle various downstream tasks efficiently by combining the convolutional network…
SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering
Xinyao Shu, Shiyang Yan, Xu Yang +3
Visual question answering (VQA) is a critical multimodal task in which an agent must answer questions according to the visual cue. Unfortunately, language bias is a common problem…
YOLOX-PAI: An Improved YOLOX, Stronger and Faster than YOLOv6
Ziheng Wu, Xinyi Zou, Wenmeng Zhou +1
We develop an all-in-one computer vision toolbox named EasyCV to facilitate the use of various SOTA computer vision methods. Recently, we add YOLOX-PAI, an improved version of YOLO…