output
20162024
most citedDoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor

28 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.CVShow all

4 papers · 1 filter

cs.CV2020★ 4 cited

Learning Formation of Physically-Based Face Attributes

Ruilong Li, Karl Bladin, Yajie Zhao +8

Based on a combined data set of 4000 high resolution facial scans, we introduce a non-linear morphable face model, capable of producing multifarious face geometry of pore-level res…

cs.CV2018★ 28 cited

DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor

Tao Yu, Zerong Zheng, Kaiwen Guo +5

We propose DoubleFusion, a new real-time system that combines volumetric dynamic reconstruction with data-driven template fitting to simultaneously reconstruct detailed geometry, n…

cs.CV2017★ 8 cited

Contextual-based Image Inpainting: Infer, Match, and Translate

Yuhang Song, Chao Yang, Zhe Lin +4

We study the task of image inpainting, which is to fill in the missing region of an incomplete image with plausible contents. To this end, we propose a learning-based approach to g…

cs.CV2016★ 3 cited

Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks

Samuli Laine, Tero Karras, Timo Aila +5

We present a real-time deep learning framework for video-based facial performance capture -- the dense 3D tracking of an actor's face given a monocular video. Our pipeline begins w…