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20182022
most citedNeural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering

65 citations · 76 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV20221 cited

Learning Dynamic View Synthesis With Few RGBD Cameras

Shengze Wang, YoungJoong Kwon, Yuan Shen +4

There have been significant advancements in dynamic novel view synthesis in recent years. However, current deep learning models often require (1) prior models (e.g., SMPL human mod…

cs.CV20211 cited

Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction

Justin Wilson, Nicholas Rewkowski, Ming C. Lin +1

Reflective and textureless surfaces such as windows, mirrors, and walls can be a challenge for object and scene reconstruction. These surfaces are often poorly reconstructed and fi…

cs.CV202165 cited

Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering

Youngjoong Kwon, Dahun Kim, Duygu Ceylan +1

In this paper, we aim at synthesizing a free-viewpoint video of an arbitrary human performance using sparse multi-view cameras. Recently, several works have addressed this problem…

cs.CV2019

StereoDRNet: Dilated Residual Stereo Net

Rohan Chabra, Julian Straub, Chris Sweeney +2

We propose a system that uses a convolution neural network (CNN) to estimate depth from a stereo pair followed by volumetric fusion of the predicted depth maps to produce a 3D reco…

cs.CV20199 cited

Real-time 3D Face-Eye Performance Capture of a Person Wearing VR Headset

Guoxian Song, Jianfei Cai, Tat-Jen Cham +3

Teleconference or telepresence based on virtual reality (VR) headmount display (HMD) device is a very interesting and promising application since HMD can provide immersive feelings…