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20212026
most citedEditable Free-viewpoint Video Using a Layered Neural Representation

80 citations · 108 across the 22 of their papers we have counts for

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10 papers · 1 filter

cs.CV2021★ 1 cited

iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering

Liao Wang, Ziyu Wang, Pei Lin +5

Generating ``bullet-time'' effects of human free-viewpoint videos is critical for immersive visual effects and VR/AR experience. Recent neural advances still lack the controllable…

cs.CV2021

Neural Relighting and Expression Transfer On Video Portraits

Youjia Wang, Taotao Zhou, Minzhang Li +4

Photo-realistic video portrait reenactment benefits virtual production and numerous VR/AR experiences. The task remains challenging as the reenacted expression should match the sou…

cs.CV2021★ 12 cited

Few-shot Neural Human Performance Rendering from Sparse RGBD Videos

Anqi Pang, Xin Chen, Haimin Luo +3

Recent neural rendering approaches for human activities achieve remarkable view synthesis results, but still rely on dense input views or dense training with all the capture frames…

cs.CV2021

PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging

Yuwei Li, Minye Wu, Yuyao Zhang +2

Hand modeling is critical for immersive VR/AR, action understanding, or human healthcare. Existing parametric models account only for hand shape, pose, or texture, without modeling…

cs.CV2021★ 2 cited

MirrorNeRF: One-shot Neural Portrait Radiance Field from Multi-mirror Catadioptric Imaging

Ziyu Wang, Liao Wang, Fuqiang Zhao +3

Photo-realistic neural reconstruction and rendering of the human portrait are critical for numerous VR/AR applications. Still, existing solutions inherently rely on multi-view capt…

cs.CV2021★ 80 cited

Editable Free-viewpoint Video Using a Layered Neural Representation

Jiakai Zhang, Xinhang Liu, Xinyi Ye +6

Generating free-viewpoint videos is critical for immersive VR/AR experience but recent neural advances still lack the editing ability to manipulate the visual perception for large…

cs.CV2021★ 1 cited

Convolutional Neural Opacity Radiance Fields

Haimin Luo, Anpei Chen, Qixuan Zhang +4

Photo-realistic modeling and rendering of fuzzy objects with complex opacity are critical for numerous immersive VR/AR applications, but it suffers from strong view-dependent brigh…

cs.CV2021★ 1 cited

Neural Video Portrait Relighting in Real-time via Consistency Modeling

Longwen Zhang, Qixuan Zhang, Minye Wu +2

Video portraits relighting is critical in user-facing human photography, especially for immersive VR/AR experience. Recent advances still fail to recover consistent relit result un…

cs.CV2021★ 3 cited

NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras

Xin Suo, Yuheng Jiang, Pei Lin +4

4D reconstruction and rendering of human activities is critical for immersive VR/AR experience.Recent advances still fail to recover fine geometry and texture results with the leve…

cs.CV2021

GNeRF: GAN-based Neural Radiance Field without Posed Camera

Quan Meng, Anpei Chen, Haimin Luo +5

We introduce GNeRF, a framework to marry Generative Adversarial Networks (GAN) with Neural Radiance Field (NeRF) reconstruction for the complex scenarios with unknown and even rand…