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20212024
most citedNeural Parameterization for Dynamic Human Head Editing

12 citations · 25 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2024

Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°

Yuxiao He, Yiyu Zhuang, Yanwen Wang +6

Creating a 360° parametric model of a human head is a very challenging task. While recent advancements have demonstrated the efficacy of leveraging synthetic data for building such…

cs.CV2023★ 3 cited

Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail

Yiyu Zhuang, Qi Zhang, Ying Feng +6

We present LoD-NeuS, an efficient neural representation for high-frequency geometry detail recovery and anti-aliased novel view rendering. Drawing inspiration from voxel-based repr…

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

3D GAN Inversion with Facial Symmetry Prior

Fei Yin, Yong Zhang, Xuan Wang +8

Recently, a surge of high-quality 3D-aware GANs have been proposed, which leverage the generative power of neural rendering. It is natural to associate 3D GANs with GAN inversion m…

cs.CV2022★ 3 cited

Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

Jingxiang Sun, Xuan Wang, Lizhen Wang +4

3D-aware generative adversarial networks (GANs) synthesize high-fidelity and multi-view-consistent facial images using only collections of single-view 2D imagery. Towards fine-grai…

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…