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20192022
most citedSelf-Supervised Human Depth Estimation from Monocular Videos

2 citations · 5 across the 4 of their papers we have counts for

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cs.CV2022

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…

cs.CV20212 cited

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…

cs.CV20202 cited

Self-Supervised Human Depth Estimation from Monocular Videos

Feitong Tan, Hao Zhu, Zhaopeng Cui +3

Previous methods on estimating detailed human depth often require supervised training with `ground truth' depth data. This paper presents a self-supervised method that can be train…

cs.CV2019

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching

Xiaodong Gu, Zhiwen Fan, Zuozhuo Dai +3

The deep multi-view stereo (MVS) and stereo matching approaches generally construct 3D cost volumes to regularize and regress the output depth or disparity. These methods are limit…

cs.CV20191 cited

A Neural Network for Detailed Human Depth Estimation from a Single Image

Sicong Tang, Feitong Tan, Kelvin Cheng +3

This paper presents a neural network to estimate a detailed depth map of the foreground human in a single RGB image. The result captures geometry details such as cloth wrinkles, wh…