19 citations · 32 across the 9 of their papers we have counts for
8 papers · 1 filter
Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter
Weizhi Zhong, Huan Yang, Zheng Liu +5
Personalized text-to-image generation aims to synthesize images of user-provided concepts in diverse contexts. Despite recent progress in multi-concept personalization, most are li…
Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention
Huiguo He, Qiuyue Wang, Yuan Zhou +4
Training-free diffusion models have achieved remarkable progress in generating multi-subject consistent images within open-domain scenarios. The key idea of these methods is to inc…
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
Huiguo He, Huan Yang, Zixi Tuo +7
Story visualization aims to create visually compelling images or videos corresponding to textual narratives. Despite recent advances in diffusion models yielding promising results,…
MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text
Junchen Zhu, Huan Yang, Wenjing Wang +8
Videos for mobile devices become the most popular access to share and acquire information recently. For the convenience of users' creation, in this paper, we present a system, name…
MovieFactory: Automatic Movie Creation from Text using Large Generative Models for Language and Images
Junchen Zhu, Huan Yang, Huiguo He +6
In this paper, we present MovieFactory, a powerful framework to generate cinematic-picture (30721280), film-style (multi-scene), and multi-modality (sounding) movies on the…
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning
Huiguo He, Tianfu Wang, Huan Yang +5
We study the task of generating profitable Non-Fungible Token (NFT) images from user-input texts. Recent advances in diffusion models have shown great potential for image generatio…
Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
Wenjing Wang, Huan Yang, Zixi Tuo +4
With the explosive popularity of AI-generated content (AIGC), video generation has recently received a lot of attention. Generating videos guided by text instructions poses signifi…
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
Ludan Ruan, Yiyang Ma, Huan Yang +6
We propose the first joint audio-video generation framework that brings engaging watching and listening experiences simultaneously, towards high-quality realistic videos. To genera…