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20232026
most citedSwap Attention in Spatiotemporal Diffusions for Text-to-Video Generation

19 citations · 20 across the 6 of their papers we have counts for

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6 papers

cs.CV2026

LPM: Industrial-Scale Generative Video Restoration

Bichuan Zhu, Fulin Li, Jiachao Gong +14

We present the Large Processing Model (LPM), a diffusion-based generative framework for photorealistic video restoration under complex, in-the-wild degradations. To our knowledge,…

cs.CV2024

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,…

cs.CV2023

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…

cs.CV2023★ 1 cited

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…

cs.CV2023★ 19 cited

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…

cs.CV2023

Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution

Zixi Tuo, Huan Yang, Jianlong Fu +2

Existing real-world video super-resolution (VSR) methods focus on designing a general degradation pipeline for open-domain videos while ignoring data intrinsic characteristics whic…