9 citations · 34 across the 16 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
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…
Pixel-Aligned Non-parametric Hand Mesh Reconstruction
Shijian Jiang, Guwen Han, Danhang Tang +4
Non-parametric mesh reconstruction has recently shown significant progress in 3D hand and body applications. In these methods, mesh vertices and edges are visible to neural network…
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…
Density-preserving Deep Point Cloud Compression
Yun He, Xinlin Ren, Danhang Tang +3
Local density of point clouds is crucial for representing local details, but has been overlooked by existing point cloud compression methods. To address this, we propose a novel de…
OmniSyn: Synthesizing 360 Videos with Wide-baseline Panoramas
David Li, Yinda Zhang, Christian Häne +3
Immersive maps such as Google Street View and Bing Streetside provide true-to-life views with a massive collection of panoramas. However, these panoramas are only available at spar…
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting
Feitong Tan, Sean Fanello, Abhimitra Meka +6
We propose VoLux-GAN, a generative framework to synthesize 3D-aware faces with convincing relighting. Our main contribution is a volumetric HDRI relighting method that can efficien…
Multiresolution Deep Implicit Functions for 3D Shape Representation
Zhang Chen, Yinda Zhang, Kyle Genova +7
We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchical representation that can recover fine geometry detail, while being able to perform global operations such…
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences
Feitong Tan, Danhang Tang, Mingsong Dou +9
In this paper, we address the problem of building dense correspondences between human images under arbitrary camera viewpoints and body poses. Prior art either assumes small motion…
Real-time Background-aware 3D Textureless Object Pose Estimation
Mang Shao, Danhang Tang, Tae-Kyun Kim
In this work, we present a modified fuzzy decision forest for real-time 3D object pose estimation based on typical template representation. We employ an extra preemptive background…
Latent-Class Hough Forests for 6 DoF Object Pose Estimation
Rigas Kouskouridas, Alykhan Tejani, Andreas Doumanoglou +2
In this paper we present Latent-Class Hough Forests, a method for object detection and 6 DoF pose estimation in heavily cluttered and occluded scenarios. We adapt a state of the ar…