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20212023
most citedNeural Parameterization for Dynamic Human Head Editing

12 citations · 30 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2023★ 2 cited

Local Implicit Ray Function for Generalizable Radiance Field Representation

Xin Huang, Qi Zhang, Ying Feng +3

We propose LIRF (Local Implicit Ray Function), a generalizable neural rendering approach for novel view rendering. Current generalizable neural radiance fields (NeRF) methods sampl…

cs.CV2023

NeAI: A Pre-convoluted Representation for Plug-and-Play Neural Ambient Illumination

Yiyu Zhuang, Qi Zhang, Xuan Wang +5

Recent advances in implicit neural representation have demonstrated the ability to recover detailed geometry and material from multi-view images. However, the use of simplified lig…

cs.CV2022★ 3 cited

Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields

Yue Chen, Xingyu Chen, Xuan Wang +4

Neural Radiance Fields (NeRF) have achieved photorealistic novel views synthesis; however, the requirement of accurate camera poses limits its application. Despite analysis-by-synt…

cs.CV2022★ 12 cited

Neural Parameterization for Dynamic Human Head Editing

Li Ma, Xiaoyu Li, Jing Liao +4

Implicit radiance functions emerged as a powerful scene representation for reconstructing and rendering photo-realistic views of a 3D scene. These representations, however, suffer…

cs.CV2022★ 1 cited

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

Yue Chen, Xuan Wang, Xingyu Chen +5

Neural volume rendering enables photo-realistic renderings of a human performer in free-view, a critical task in immersive VR/AR applications. But the practice is severely limited…

cs.CV2021★ 4 cited

FENeRF: Face Editing in Neural Radiance Fields

Jingxiang Sun, Xuan Wang, Yong Zhang +4

Previous portrait image generation methods roughly fall into two categories: 2D GANs and 3D-aware GANs. 2D GANs can generate high fidelity portraits but with low view consistency.…