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20182020
most citedDynamic Graph CNN for Learning on Point Clouds

287 citations · 403 across the 7 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 19 cited

PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention

Yongbin Sun, Yue Wang, Ziwei Liu +2

Generating 3D point clouds is challenging yet highly desired. This work presents a novel autoregressive model, PointGrow, which can generate diverse and realistic point cloud sampl…

cs.HC2018★ 11 cited

X-Vision: An augmented vision tool with real-time sensing ability in tagged environments

Yongbin Sun, Sai Nithin R. Kantareddy, Rahul Bhattacharyya +1

We present the concept of X-Vision, an enhanced Augmented Reality (AR)-based visualization tool, with the real-time sensing capability in a tagged environment. We envision that thi…

cs.CV2018★ 31 cited

Im2Avatar: Colorful 3D Reconstruction from a Single Image

Yongbin Sun, Ziwei Liu, Yue Wang +1

Existing works on single-image 3D reconstruction mainly focus on shape recovery. In this work, we study a new problem, that is, simultaneously recovering 3D shape and surface color…

cs.HC2018★ 47 cited

Visualization and Labeling of Point Clouds in Virtual Reality

Jonathan Dyssel Stets, Yongbin Sun, Wiley Corning +1

We present a Virtual Reality (VR) application for labeling and handling point cloud data sets. A series of room-scale point clouds are recorded as a video sequence using a Microsof…

cs.CV2018★ 287 cited

Dynamic Graph CNN for Learning on Point Clouds

Yue Wang, Yongbin Sun, Ziwei Liu +3

Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition dev…