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20202026
most citedInteractive Character Control with Auto-Regressive Motion Diffusion Models

3 citations · 9 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

CinePreGen: Camera Controllable Video Previsualization via Engine-powered Diffusion

Yiran Chen, Anyi Rao, Xuekun Jiang +5

With advancements in video generative AI models (e.g., SORA), creators are increasingly using these techniques to enhance video previsualization. However, they face challenges with…

cs.CV2023★ 1 cited

Cinematic Behavior Transfer via NeRF-based Differentiable Filming

Xuekun Jiang, Anyi Rao, Jingbo Wang +2

In the evolving landscape of digital media and video production, the precise manipulation and reproduction of visual elements like camera movements and character actions are highly…

cs.CV2023★ 3 cited

Interactive Character Control with Auto-Regressive Motion Diffusion Models

Yi Shi, Jingbo Wang, Xuekun Jiang +3

Real-time character control is an essential component for interactive experiences, with a broad range of applications, including physics simulations, video games, and virtual reali…

cs.CV2022★ 1 cited

Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows

Anyi Rao, Xuekun Jiang, Sichen Wang +7

The ability to choose an appropriate camera view among multiple cameras plays a vital role in TV shows delivery. But it is hard to figure out the statistical pattern and apply inte…

cs.CV2020★ 2 cited

A Unified Framework for Shot Type Classification Based on Subject Centric Lens

Anyi Rao, Jiaze Wang, Linning Xu +4

Shots are key narrative elements of various videos, e.g. movies, TV series, and user-generated videos that are thriving over the Internet. The types of shots greatly influence how…