8 citations · 8 across the 5 of their papers we have counts for
5 papers
Wan-Image: Pushing the Boundaries of Generative Visual Intelligence
Chaojie Mao, Chen-Wei Xie, Chongyang Zhong +55
We present Wan-Image, a unified visual generation system explicitly engineered to paradigm-shift image generation models from casual synthesizers into professional-grade productivi…
Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Training
Jinbo Xing, Zeyinzi Jiang, Yuxiang Tuo +15
Recent unified models have made unprecedented progress in both understanding and generation. However, while most of them accept multi-modal inputs, they typically produce only sing…
AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation
Junjie He, Yuxiang Tuo, Binghui Chen +3
Recently, large-scale generative models have demonstrated outstanding text-to-image generation capabilities. However, generating high-fidelity personalized images with specific sub…
AnyText2: Visual Text Generation and Editing With Customizable Attributes
Yuxiang Tuo, Yifeng Geng, Liefeng Bo
As the text-to-image (T2I) domain progresses, generating text that seamlessly integrates with visual content has garnered significant attention. However, even with accurate text ge…
AnyText: Multilingual Visual Text Generation And Editing
Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He +2
Diffusion model based Text-to-Image has achieved impressive achievements recently. Although current technology for synthesizing images is highly advanced and capable of generating…