4 citations · 9 across the 9 of their papers we have counts for
6 papers · 1 filter
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing
Zhenyu Wang, Aoxue Li, Zhenguo Li +1
Despite the success achieved by existing image generation and editing methods, current models still struggle with complex problems including intricate text prompts, and the absence…
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
Mingyang Yi, Aoxue Li, Yi Xin +1
Recently, the strong latent Diffusion Probabilistic Model (DPM) has been applied to high-quality Text-to-Image (T2I) generation (e.g., Stable Diffusion), by injecting the encoded t…
Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion
Aoxue Li, Mingyang Yi, Zhenguo Li
Recently, text-to-image (T2I) editing has been greatly pushed forward by applying diffusion models. Despite the visual promise of the generated images, inconsistencies with the exp…
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization
Zhao Wang, Aoxue Li, Fengwei Zhou +2
Classical object detectors are incapable of detecting novel class objects that are not encountered before. Regarding this issue, Open-Vocabulary Object Detection (OVOD) is proposed…
Efficient Transferability Assessment for Selection of Pre-trained Detectors
Zhao Wang, Aoxue Li, Zhenguo Li +1
Large-scale pre-training followed by downstream fine-tuning is an effective solution for transferring deep-learning-based models. Since finetuning all possible pre-trained models i…
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Zhao Wang, Aoxue Li, Lingting Zhu +3
Customized text-to-video generation aims to generate high-quality videos guided by text prompts and subject references. Current approaches for personalizing text-to-video generatio…