activity
20182023
most citedNeural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering

65 citations · 99 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2023★ 1 cited

Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling

Youngjoong Kwon, Dahun Kim, Duygu Ceylan +1

We present a method that enables synthesizing novel views and novel poses of arbitrary human performers from sparse multi-view images. A key ingredient of our method is a hybrid ap…

cs.CV2023

Bringing Telepresence to Every Desk

Shengze Wang, Ziheng Wang, Ryan Schmelzle +4

In this paper, we work to bring telepresence to every desktop. Unlike commercial systems, personal 3D video conferencing systems must render high-quality videos while remaining fin…

cs.CV2023★ 1 cited

INV: Towards Streaming Incremental Neural Videos

Shengze Wang, Alexey Supikov, Joshua Ratcliff +2

Recent works in spatiotemporal radiance fields can produce photorealistic free-viewpoint videos. However, they are inherently unsuitable for interactive streaming scenarios (e.g. v…

cs.HC2022★ 1 cited

An Evaluation Study of 2D and 3D Teleconferencing for Remote Physical Therapy

Hanseul Jun, Husam Shaik, Dyan DeVeaux +3

The present research investigates the effectiveness of using a telepresence system compared to a video conferencing system and the effectiveness of using two cameras compared to on…

cs.CV2022★ 1 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.CV2021★ 1 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.CV2021★ 65 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.HC2021

Gaze-Contingent Retinal Speckle Suppression for Perceptually-Matched Foveated Holographic Displays

Praneeth Chakravarthula, Zhan Zhang, Okan Tursun +3

Computer-generated holographic (CGH) displays show great potential and are emerging as the next-generation displays for augmented and virtual reality, and automotive heads-up displ…

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.CV2019★ 9 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…

cs.GR2018★ 20 cited

Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling

Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1

This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…