most citedAllegro: Open the Black Box of Commercial-Level Video Generation Model

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cs.CV2024

Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation

Xin Yan, Yuxuan Cai, Qiuyue Wang +3

We introduce Presto, a novel video diffusion model designed to generate 15-second videos with long-range coherence and rich content. Extending video generation methods to maintain…

cs.CV2024

Fleximo: Towards Flexible Text-to-Human Motion Video Generation

Yuhang Zhang, Yuan Zhou, Zeyu Liu +4

Current methods for generating human motion videos rely on extracting pose sequences from reference videos, which restricts flexibility and control. Additionally, due to the limita…

cs.CV2024

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…

cs.CV2024★ 1 cited

Allegro: Open the Black Box of Commercial-Level Video Generation Model

Yuan Zhou, Qiuyue Wang, Yuxuan Cai +1

Significant advancements have been made in the field of video generation, with the open-source community contributing a wealth of research papers and tools for training high-qualit…

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,…