4 citations · 8 across the 6 of their papers we have counts for
6 papers
ELGAR: Expressive Cello Performance Motion Generation for Audio Rendition
Zhiping Qiu, Yitong Jin, Yuan Wang +7
The art of instrument performance stands as a vivid manifestation of human creativity and emotion. Nonetheless, generating instrument performance motions is a highly challenging ta…
Den-SOFT: Dense Space-Oriented Light Field DataseT for 6-DOF Immersive Experience
Xiaohang Yu, Zhengxian Yang, Shi Pan +8
We have built a custom mobile multi-camera large-space dense light field capture system, which provides a series of high-quality and sufficiently dense light field images for vario…
PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis
Haiyang Ying, Baowei Jiang, Jinzhi Zhang +4
This paper proposes a method for fast scene radiance field reconstruction with strong novel view synthesis performance and convenient scene editing functionality. The key idea is t…
ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstruction
Xiaohang Yu, Haoxiang Wang, Yuqi Han +3
This paper proposes a hybrid radiance field representation for unbounded immersive light field reconstruction which supports high-quality rendering and aggressive view extrapolatio…
Super-NeRF: View-consistent Detail Generation for NeRF super-resolution
Yuqi Han, Tao Yu, Xiaohang Yu +2
The neural radiance field (NeRF) achieved remarkable success in modeling 3D scenes and synthesizing high-fidelity novel views. However, existing NeRF-based methods focus more on th…
Hi Sheldon! Creating Deep Personalized Characters from TV Shows
Meidai Xuanyuan, Yuwang Wang, Honglei Guo +4
Imagine an interesting multimodal interactive scenario that you can see, hear, and chat with an AI-generated digital character, who is capable of behaving like Sheldon from The Big…