activity
20232026
most citedVR-NeRF: High-Fidelity Virtualized Walkable Spaces

47 citations · 58 across the 13 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 4 cited

Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

Tao Lu, Mulin Yu, Linning Xu +4

Neural rendering methods have significantly advanced photo-realistic 3D scene rendering in various academic and industrial applications. The recent 3D Gaussian Splatting method has…

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★ 1 cited

SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models

Yuwei Guo, Ceyuan Yang, Anyi Rao +3

The development of text-to-video (T2V), i.e., generating videos with a given text prompt, has been significantly advanced in recent years. However, relying solely on text prompts o…

cs.CV2023★ 47 cited

VR-NeRF: High-Fidelity Virtualized Walkable Spaces

Linning Xu, Vasu Agrawal, William Laney +10

We present an end-to-end system for the high-fidelity capture, model reconstruction, and real-time rendering of walkable spaces in virtual reality using neural radiance fields. To…

cs.CV2023★ 1 cited

InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint

Zhenzhi Wang, Jingbo Wang, Yixuan Li +2

Text-conditioned motion synthesis has made remarkable progress with the emergence of diffusion models. However, the majority of these motion diffusion models are primarily designed…

cs.CV2023

MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond

Yixuan Li, Lihan Jiang, Linning Xu +4

Neural radiance fields (NeRF) and its subsequent variants have led to remarkable progress in neural rendering. While most of recent neural rendering works focus on objects and smal…