2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2020★ 2 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.CV2019★ 1 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…