MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video

International Virtual Conference on 3D Vision (3DV)


We present a method to capture temporally coherent dynamic clothing deformation from a monocular RGB video input. In contrast to the existing literature, our method does not require a pre-scanned personalized mesh template, and thus can be applied to in-the-wild videos. To constrain the output to a valid deformation space, we build statistical deformation models for three types of clothing: T-shirt, short pants and long pants. A differentiable renderer is utilized to align our captured shapes to the input frames by minimizing the difference in both silhouette, segmentation, and texture. We develop a UV texture growing method which expands the visible texture region of the clothing sequentially in order to minimize drift in deformation tracking. We also extract fine-grained wrinkle detail from the input videos by fitting the clothed surface to the normal maps estimated by a convolutional neural network. Our method produces temporally coherent reconstruction of body and clothing from monocular video. We demonstrate successful clothing capture results from a variety of challenging videos. Extensive quantitative experiments demonstrate the effectiveness of our method on metrics including body pose error and surface reconstruction error of the clothing.

Supplementary Material

Related Publications

All Publications

SIGGRAPH - August 2, 2021

Fast Diffraction Pathfinding for Dynamic Sound Propagation

Carl Schissler, Gregor Mückl, Paul Calamia

CVPR - June 21, 2021

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

Vítor Albiero, Xingyu Chen, Xi Yin, Guan Pang, Tal Hassner

ISMAR - July 29, 2021

Instant Visual Odometry Initialization for Mobile AR

Alejo Concha, Michael Burri, Jesus Briales, Christian Forster, Luc Oth

ICSA - November 6, 2019

Auralization systems for simulation of augmented reality experiences in virtual environments

Peter Dodds, Sebastià V. Amengual Garí, W. Owen Brimijoin, Philip W. Robinson

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy