3 citations · 3 across the 8 of their papers we have counts for
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cs.CV2024
Scaling Laws For Diffusion Transformers
Zhengyang Liang, Hao He, Ceyuan Yang +1
Diffusion transformers (DiT) have already achieved appealing synthesis and scaling properties in content recreation, e.g., image and video generation. However, scaling laws of DiT…
cs.CV2024
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control
Zhengfei Kuang, Shengqu Cai, Hao He +4
Research on video generation has recently made tremendous progress, enabling high-quality videos to be generated from text prompts or images. Adding control to the video generation…
cs.CV2024★ 3 cited
CameraCtrl: Enabling Camera Control for Text-to-Video Generation
Hao He, Yinghao Xu, Yuwei Guo +4
Controllability plays a crucial role in video generation, as it allows users to create and edit content more precisely. Existing models, however, lack control of camera pose that s…