most citedNeural Parameterization for Dynamic Human Head Editing

12 citations · 22 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022★ 2 cited

Fine-Grained Face Swapping via Regional GAN Inversion

Zhian Liu, Maomao Li, Yong Zhang +4

We present a novel paradigm for high-fidelity face swapping that faithfully preserves the desired subtle geometry and texture details. We rethink face swapping from the perspective…

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.…

cs.CV2021

Hallucinated Neural Radiance Fields in the Wild

Xingyu Chen, Qi Zhang, Xiaoyu Li +4

Neural Radiance Fields (NeRF) has recently gained popularity for its impressive novel view synthesis ability. This paper studies the problem of hallucinated NeRF: i.e., recovering…

cs.CV2021★ 3 cited

Deblur-NeRF: Neural Radiance Fields from Blurry Images

Li Ma, Xiaoyu Li, Jing Liao +4

Neural Radiance Field (NeRF) has gained considerable attention recently for 3D scene reconstruction and novel view synthesis due to its remarkable synthesis quality. However, image…