20 citations · 39 across the 6 of their papers we have counts for
6 papers
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views
Jingyu Yang, Ji Xu, Kun Li +5
This paper proposes a new method for simultaneous 3D reconstruction and semantic segmentation of indoor scenes. Unlike existing methods that require recording a video using a color…
DeepHuman: 3D Human Reconstruction from a Single Image
Zerong Zheng, Tao Yu, Yixuan Wei +2
We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D human reconstruction from a single RGB image. To reduce the ambiguities associated with the surface ge…
SimulCap : Single-View Human Performance Capture with Cloth Simulation
Tao Yu, Zerong Zheng, Yuan Zhong +4
This paper proposes a new method for live free-viewpoint human performance capture with dynamic details (e.g., cloth wrinkles) using a single RGBD camera. Our main contributions ar…
LapEPI-Net: A Laplacian Pyramid EPI structure for Learning-based Dense Light Field Reconstruction
Gaochang Wu, Yebin Liu, Lu Fang +1
For dense sampled light field (LF) reconstruction problem, existing approaches focus on a depth-free framework to achieve non-Lambertian performance. However, they trap in the trad…
Turning an Urban Scene Video into a Cinemagraph
Hang Yan, Yebin Liu, Yasutaka Furukawa
This paper proposes an algorithm that turns a regular video capturing urban scenes into a high-quality endless animation, known as a Cinemagraph. The creation of a Cinemagraph usua…
FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras
Lan Xu, Lu Fang, Wei Cheng +4
Aiming at automatic, convenient and non-instrusive motion capture, this paper presents a new generation markerless motion capture technique, the FlyCap system, to capture surface m…