activity
20222024
most citedGrad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions

9 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20241 cited

One-Click Upgrade from 2D to 3D: Sandwiched RGB-D Video Compression for Stereoscopic Teleconferencing

Yueyu Hu, Onur G. Guleryuz, Philip A. Chou +4

Stereoscopic video conferencing is still challenging due to the need to compress stereo RGB-D video in real-time. Though hardware implementations of standard video codecs such as H…

cs.CV20236 cited

Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images

Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen +8

We propose a novel transformer-based framework that reconstructs two high fidelity hands from multi-view RGB images. Unlike existing hand pose estimation methods, where one typical…

cs.CV20239 cited

Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions

Yun He, Danhang Tang, Yinda Zhang +2

Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However,they usually suffer from two crit…

cs.CV20231 cited

Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos

Ziqian Bai, Feitong Tan, Zeng Huang +12

We propose a method to learn a high-quality implicit 3D head avatar from a monocular RGB video captured in the wild. The learnt avatar is driven by a parametric face model to achie…

cs.CV2022

PRIF: Primary Ray-based Implicit Function

Brandon Yushan Feng, Yinda Zhang, Danhang Tang +2

We introduce a new implicit shape representation called Primary Ray-based Implicit Function (PRIF). In contrast to most existing approaches based on the signed distance function (S…